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Most Influential ACL Papers (2024-09)

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Annual Meeting of the Association for Computational Linguistics (ACL) is one of the top natural language processing conferences in the world. Paper Digest Team analyzes all papers published on ACL in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2024-09)

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TABLE 1: Most Influential ACL Papers (2024-09)

Year Rank Paper Author(s)
2024 1 Large Language Models Are Not Fair Evaluators
IF:6   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper, we uncover a positional bias in the evaluation paradigm of adopting large language models (LLMs), e. g. , GPT-4, as a referee to score and compare the quality of responses generated by candidate models.		 PEIYI WANG et. al.
2024 2 Video-ChatGPT: Towards Detailed Video Understanding Via Large Vision and Language Models
IF:5   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: We introduce a new dataset of 100,000 video-instruction pairs used to train Video-ChatGPT acquired via manual and semi-automated pipeline that is easily scalable and robust to label noise.		 Muhammad Maaz; Hanoona Rasheed; Salman Khan; Fahad Khan;
2024 3 LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
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Highlight: In this paper, we introduce LongBench, the first bilingual, multi-task benchmark for long context understanding, enabling a more rigorous evaluation of long context understanding.		 YUSHI BAI et. al.
2024 4 OLMo: Accelerating The Science of Language Models
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: To this end, we have built OLMo, a competitive, truly Open Language Model, to enable the scientific study of language models.		 DIRK GROENEVELD et. al.
2024 5 How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety By Humanizing LLMs
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Highlight: Observing this, we shift the perspective, by treating LLMs as human-like communicators to examine the interplay between everyday language interaction and AI safety. Specifically, we study how to persuade LLMs to jailbreak them.		 YI ZENG et. al.
2024 6 LaMP: When Large Language Models Meet Personalization
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Highlight: We additionally propose two retrieval augmentation approaches that retrieve personal items from each user profile for personalizing language model outputs. To this aim, we study various retrieval models, including term matching, semantic matching, and time-aware methods.		 Alireza Salemi; Sheshera Mysore; Michael Bendersky; Hamed Zamani;
2024 7 Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: We present analyses and experimental results on intermediate states of Dolma to share what we have learned about important data curation practices.		 LUCA SOLDAINI et. al.
2024 8 Active Prompting with Chain-of-Thought for Large Language Models
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: This paper proposes a new method, Active-Prompt, to adapt LLMs to different tasks with task-specific example prompts (annotated with human-designed CoT reasoning).		 SHIZHE DIAO et. al.
2024 9 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios Via Prompt Compression
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: Research indicates that LLM performance hinges on the density and position of key information in the input prompt. Inspired by these findings, we propose LongLLMLingua for prompt compression towards improving LLMs� perception of the key information to simultaneously address the three challenges.		 HUIQIANG JIANG et. al.
2024 10 Defending Against Alignment-Breaking Attacks Via Robustly Aligned LLM
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this work, we introduce a Robustly Aligned LLM (RA-LLM) to defend against potential alignment-breaking attacks.		 Bochuan Cao; Yuanpu Cao; Lu Lin; Jinghui Chen;
2024 11 How Abilities in Large Language Models Are Affected By Supervised Fine-tuning Data Composition
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this study, we specificially focuses on the interplay of data composition between mathematical reasoning, code generation, and general human-aligning abilities during SFT.		 GUANTING DONG et. al.
2024 12 L-Eval: Instituting Standardized Evaluation for Long Context Language Models
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: To facilitate research in this field, we propose L-Eval to institute a more standardized evaluation for Long-Context Language Models (LCLMs) addressing two key aspects: dataset construction and evaluation metrics.		 CHENXIN AN et. al.
2024 13 DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In response, we propose the DeepSeekMoE architecture towards ultimate expert specialization.		 DAMAI DAI et. al.
2024 14 Full Parameter Fine-tuning for Large Language Models with Limited Resources
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Highlight: In this work, we propose a new optimizer, LOw-Memory Optimization (LOMO), which fuses the gradient computation and the parameter update in one step to reduce memory usage.		 Kai Lv; Yuqing Yang; Tengxiao Liu; Qipeng Guo; Xipeng Qiu;
2024 15 The Belebele Benchmark: A Parallel Reading Comprehension Dataset in 122 Language Variants
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: We present Belebele, a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants.		 LUCAS BANDARKAR et. al.
2023 1 Self-Instruct: Aligning Language Models with Self-Generated Instructions
IF:9   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: We introduce Self-Instruct, a framework for improving the instruction-following capabilities of pretrained language models by bootstrapping off their own generations.		 YIZHONG WANG et. al.
2023 2 Can Large Language Models Be An Alternative to Human Evaluations?
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Highlight: Recently, large language models (LLMs) have demonstrated exceptional performance on unseen tasks when only the task instructions are provided. In this paper, we explore if such an ability of the LLMs can be used as an alternative to human evaluation.		 Cheng-Han Chiang; Hung-yi Lee;
2023 3 Crosslingual Generalization Through Multitask Finetuning
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Highlight: We find finetuning large multilingual language models on English tasks with English prompts allows for task genrealization to non-English languages that appear only in the pretraining corpus.		 NIKLAS MUENNIGHOFF et. al.
2023 4 When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
IF:6   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: This paper aims to understand LMs� strengths and limitations in memorizing factual knowledge, by conducting large-scale knowledge probing experiments on two open-domain entity-centric QA datasets: PopQA, our new dataset with 14k questions about long-tail entities, and EntityQuestions, a widely used open-domain QA dataset.		 ALEX MALLEN et. al.
2023 5 Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
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Highlight: In this work, we introduce Unnatural Instructions: a large dataset of creative and diverse instructions, collected with virtually no human labor.		 Or Honovich; Thomas Scialom; Omer Levy; Timo Schick;
2023 6 Large Language Models Are Reasoning Teachers
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Highlight: However, prompt-based CoT methods are dependent on very large models such as GPT-3 175B which are prohibitive to deploy at scale. In this paper, we use these large models as reasoning teachers to enable complex reasoning in smaller models and reduce model size requirements by several orders of magnitude.		 Namgyu Ho; Laura Schmid; Se-Young Yun;
2023 7 Contrastive Decoding: Open-ended Text Generation As Optimization
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Highlight: We propose contrastive decoding (CD), a reliable decoding approach that optimizes a contrastive objective subject to a plausibility constraint.		 XIANG LISA LI et. al.
2023 8 Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
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Highlight: Here, what to retrieve depends on what has already been derived, which in turn may depend on what was previously retrieved. To address this, we propose IRCoT, a new approach for multi-step QA that interleaves retrieval with steps (sentences) in a CoT, guiding the retrieval with CoT and in turn using retrieved results to improve CoT.		 Harsh Trivedi; Niranjan Balasubramanian; Tushar Khot; Ashish Sabharwal;
2023 9 Reasoning with Language Model Prompting: A Survey
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Highlight: We introduce research works with comparisons and summaries and provide systematic resources to help beginners.		 SHUOFEI QIAO et. al.
2023 10 Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning By Large Language Models
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: To address the missing-step errors, we propose Plan-and-Solve (PS) Prompting.		 LEI WANG et. al.
2023 11 RARR: Researching and Revising What Language Models Say, Using Language Models
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: To enable attribution while still preserving all the powerful advantages of recent generation models, we propose RARR (Retrofit Attribution using Research and Revision), a system that 1) automatically finds attribution for the output of any text generation model, and 2) post-edits the output to fix unsupported content while preserving the original output as much as possible.		 LUYU GAO et. al.
2023 12 DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: However, generating images with desired details requires proper prompts, and it is often unclear how a model reacts to different prompts or what the best prompts are. To help researchers tackle these critical challenges, we introduce DiffusionDB, the first large-scale text-to-image prompt dataset totaling 6.		 ZIJIE J. WANG et. al.
2023 13 Is GPT-3 A Good Data Annotator?
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Highlight: It is therefore natural to wonder whether it can be used to effectively annotate data for NLP tasks. In this paper, we evaluate the performance of GPT-3 as a data annotator by comparing it with traditional data annotation methods and analyzing its output on a range of tasks.		 BOSHENG DING et. al.
2023 14 Teaching Small Language Models to Reason
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Highlight: However, these reasoning capabilities only appear to emerge in models with at least tens of billions of parameters. In this paper, we explore the transfer of such reasoning capabilities to smaller models via knowledge distillation, also investigating model and dataset size trade-off.		 Lucie Charlotte Magister; Jonathan Mallinson; Jakub Adamek; Eric Malmi; Aliaksei Severyn;
2023 15 Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
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Highlight: In this paper, we show that CoT reasoning is possible even with invalid demonstrations – prompting with invalid reasoning steps can achieve over 80-90% of the performance obtained using CoT under various metrics, while still generating coherent lines of reasoning during inference.		 BOSHI WANG et. al.
2022 1 TruthfulQA: Measuring How Models Mimic Human Falsehoods
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Highlight: We propose a benchmark to measure whether a language model is truthful in generating answers to questions.		 Stephanie Lin; Jacob Hilton; Owain Evans;
2022 2 GLM: General Language Model Pretraining with Autoregressive Blank Infilling
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Highlight: However, none of the pretraining frameworks performs the best for all tasks of three main categories including natural language understanding (NLU), unconditional generation, and conditional generation. We propose a General Language Model (GLM) based on autoregressive blank infilling to address this challenge.		 ZHENGXIAO DU et. al.
2022 3 Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
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Highlight: While one could use a development set to determine which permutations are performant, this would deviate from the true few-shot setting as it requires additional annotated data. Instead, we use the generative nature of language models to construct an artificial development set and based on entropy statistics of the candidate permutations on this set, we identify performant prompts.		 Yao Lu; Max Bartolo; Alastair Moore; Sebastian Riedel; Pontus Stenetorp;
2022 4 Language-agnostic BERT Sentence Embedding
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Highlight: We systematically investigate methods for learning multilingual sentence embeddings by combining the best methods for learning monolingual and cross-lingual representations including: masked language modeling (MLM), translation language modeling (TLM), dual encoder translation ranking, and additive margin softmax.		 Fangxiaoyu Feng; Yinfei Yang; Daniel Cer; Naveen Arivazhagan; Wei Wang;
2022 5 Cross-Task Generalization Via Natural Language Crowdsourcing Instructions
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Highlight: A long-standing challenge in AI is to build a model that learns a new task by understanding the human-readable instructions that define it. To study this, we introduce NATURAL INSTRUCTIONS, a dataset of 61 distinct tasks, their human-authored instructions, and 193k task instances (input-output pairs).		 Swaroop Mishra; Daniel Khashabi; Chitta Baral; Hannaneh Hajishirzi;
2022 6 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
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Highlight: We present a novel empirical finding that properly optimized prompt tuning can be universally effective across a wide range of model scales and NLU tasks.		 XIAO LIU et. al.
2022 7 Deduplicating Training Data Makes Language Models Better
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Highlight: We develop two tools that allow us to deduplicate training datasets—for example removing from C4 a single 61 word English sentence that is repeated over 60,000 times.		 KATHERINE LEE et. al.
2022 8 UniXcoder: Unified Cross-Modal Pre-training for Code Representation
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Highlight: In this paper, we present UniXcoder, a unified cross-modal pre-trained model for programming language.		 DAYA GUO et. al.
2022 9 PPT: Pre-trained Prompt Tuning for Few-shot Learning
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Highlight: We attribute this low performance to the manner of initializing soft prompts. Therefore, in this work, we propose to pre-train prompts by adding soft prompts into the pre-training stage to obtain a better initialization.		 Yuxian Gu; Xu Han; Zhiyuan Liu; Minlie Huang;
2022 10 Unified Structure Generation for Universal Information Extraction
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Highlight: In this paper, we propose a unified text-to-structure generation framework, namely UIE, which can universally model different IE tasks, adaptively generate targeted structures, and collaboratively learn general IE abilities from different knowledge sources.		 YAOJIE LU et. al.
2022 11 Knowledge Neurons in Pretrained Transformers
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Highlight: In this paper, we present preliminary studies on how factual knowledge is stored in pretrained Transformers by introducing the concept of knowledge neurons.		 DAMAI DAI et. al.
2022 12 Knowledgeable Prompt-tuning: Incorporating Knowledge Into Prompt Verbalizer for Text Classification
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Highlight: In this work, we focus on incorporating external knowledge into the verbalizer, forming a knowledgeable prompttuning (KPT), to improve and stabilize prompttuning.		 SHENGDING HU et. al.
2022 13 Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
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Highlight: In this paper, we identify and address two underlying problems of dense retrievers: i) fragility to training data noise and ii) requiring large batches to robustly learn the embedding space.		 Luyu Gao; Jamie Callan;
2022 14 LinkBERT: Pretraining Language Models with Document Links
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Highlight: In this work, we propose LinkBERT, an LM pretraining method that leverages links between documents, e.g., hyperlinks.		 Michihiro Yasunaga; Jure Leskovec; Percy Liang;
2022 15 ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
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Highlight: We develop a demonstration-based prompting framework and an adversarial classifier-in-the-loop decoding method to generate subtly toxic and benign text with a massive pretrained language model.		 THOMAS HARTVIGSEN et. al.
2021 1 Prefix-Tuning: Optimizing Continuous Prompts for Generation
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Highlight: In this paper, we propose prefix-tuning, a lightweight alternative to fine-tuning for natural language generation tasks, which keeps language model parameters frozen and instead optimizes a sequence of continuous task-specific vectors, which we call the prefix.		 Xiang Lisa Li; Percy Liang;
2021 2 Making Pre-trained Language Models Better Few-shot Learners
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Highlight: We present LM-BFF-better few-shot fine-tuning of language models-a suite of simple and complementary techniques for fine-tuning language models on a small number of annotated examples.		 Tianyu Gao; Adam Fisch; Danqi Chen;
2021 3 StereoSet: Measuring Stereotypical Bias in Pretrained Language Models
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Highlight: We present StereoSet, a large-scale natural English dataset to measure stereotypical biases in four domains: gender, profession, race, and religion.		 Moin Nadeem; Anna Bethke; Siva Reddy;
2021 4 ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
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Highlight: In this paper, we present ConSERT, a Contrastive Framework for Self-Supervised SEntence Representation Transfer, that adopts contrastive learning to fine-tune BERT in an unsupervised and effective way.		 YUANMENG YAN et. al.
2021 5 DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
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Highlight: In this paper, we present DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.		 John Giorgi; Osvald Nitski; Bo Wang; Gary Bader;
2021 6 LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
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Highlight: We propose LayoutLMv2 architecture with new pre-training tasks to model the interaction among text, layout, and image in a single multi-modal framework.		 YANG XU et. al.
2021 7 Intrinsic Dimensionality Explains The Effectiveness of Language Model Fine-Tuning
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Highlight: In this paper, we argue that analyzing fine-tuning through the lens of intrinsic dimension provides us with empirical and theoretical intuitions to explain this remarkable phenomenon.		 Armen Aghajanyan; Sonal Gupta; Luke Zettlemoyer;
2021 8 ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
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Highlight: Although multilingual LMs were also introduced to serve many languages, these have limitations such as being costly at inference time and the size and diversity of non-English data involved in their pre-training. We remedy these issues for a collection of diverse Arabic varieties by introducing two powerful deep bidirectional transformer-based models, ARBERT and MARBERT.		 Muhammad Abdul-Mageed; AbdelRahim Elmadany; El Moatez Billah Nagoudi;
2021 9 VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
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Highlight: We introduce VoxPopuli, a large-scale multilingual corpus providing 400K hours of unlabeled speech data in 23 languages.		 CHANGHAN WANG et. al.
2021 10 UNIMO: Towards Unified-Modal Understanding and Generation Via Cross-Modal Contrastive Learning
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Highlight: In this work, we propose a UNIfied-MOdal pre-training architecture, namely UNIMO, which can effectively adapt to both single-modal and multi-modal understanding and generation tasks.		 WEI LI et. al.
2021 11 Parameter-Efficient Transfer Learning with Diff Pruning
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Highlight: The approach learns a task-specific diff vector that extends the original pretrained parameters.		 Demi Guo; Alexander Rush; Yoon Kim;
2021 12 WARP: Word-level Adversarial ReProgramming
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Highlight: In this paper, we present an alternative approach based on adversarial reprogramming, which extends earlier work on automatic prompt generation.		 Karen Hambardzumyan; Hrant Khachatrian; Jonathan May;
2021 13 DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
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Highlight: We propose DExperts: Decoding-time Experts, a decoding-time method for controlled text generation that combines a pretrained language model with expert LMs and/or anti-expert LMs in a product of experts.		 ALISA LIU et. al.
2021 14 Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
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Highlight: To overcome these challenges, in this paper, we propose a dual graph convolutional networks (DualGCN) model that considers the complementarity of syntax structures and semantic correlations simultaneously.		 RUIFAN LI et. al.
2021 15 A Unified Generative Framework for Various NER Subtasks
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Highlight: To that end, we propose to formulate the NER subtasks as an entity span sequence generation task, which can be solved by a unified sequence-to-sequence (Seq2Seq) framework.		 HANG YAN et. al.
2020 1 BART: Denoising Sequence-to-Sequence Pre-training For Natural Language Generation, Translation, And Comprehension
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Highlight: We present BART, a denoising autoencoder for pretraining sequence-to-sequence models.		 MIKE LEWIS et. al.
2020 2 Unsupervised Cross-lingual Representation Learning At Scale
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Highlight: This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.		 ALEXIS CONNEAU et. al.
2020 3 BLEURT: Learning Robust Metrics For Text Generation
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Highlight: We propose BLEURT, a learned evaluation metric for English based on BERT.		 Thibault Sellam; Dipanjan Das; Ankur Parikh;
2020 4 Beyond Accuracy: Behavioral Testing Of NLP Models With CheckList
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Highlight: Inspired by principles of behavioral testing in software engineering, we introduce CheckList, a task-agnostic methodology for testing NLP models.		 Marco Tulio Ribeiro; Tongshuang Wu; Carlos Guestrin; Sameer Singh;
2020 5 Adversarial NLI: A New Benchmark For Natural Language Understanding
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Highlight: We introduce a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure.		 YIXIN NIE et. al.
2020 6 CamemBERT: A Tasty French Language Model
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Highlight: In this paper, we investigate the feasibility of training monolingual Transformer-based language models for other languages, taking French as an example and evaluating our language models on part-of-speech tagging, dependency parsing, named entity recognition and natural language inference tasks.		 LOUIS MARTIN et. al.
2020 7 On Faithfulness And Factuality In Abstractive Summarization
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Highlight: In this paper we have analyzed limitations of these models for abstractive document summarization and found that these models are highly prone to hallucinate content that is unfaithful to the input document.		 Joshua Maynez; Shashi Narayan; Bernd Bohnet; Ryan McDonald;
2020 8 Climbing Towards NLU: On Meaning, Form, And Understanding In The Age Of Data
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Highlight: In this position paper, we argue that a system trained only on form has a priori no way to learn meaning.		 Emily M. Bender; Alexander Koller;
2020 9 MobileBERT: A Compact Task-Agnostic BERT For Resource-Limited Devices
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Highlight: In this paper, we propose MobileBERT for compressing and accelerating the popular BERT model.		 ZHIQING SUN et. al.
2020 10 On The Cross-lingual Transferability Of Monolingual Representations
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Highlight: More concretely, we first train a transformer-based masked language model on one language, and transfer it to a new language by learning a new embedding matrix with the same masked language modeling objective, freezing parameters of all other layers.		 Mikel Artetxe; Sebastian Ruder; Dani Yogatama;
2020 11 The State And Fate Of Linguistic Diversity And Inclusion In The NLP World
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Highlight: In this paper we look at the relation between the types of languages, resources, and their representation in NLP conferences to understand the trajectory that different languages have followed over time.		 Pratik Joshi; Sebastin Santy; Amar Budhiraja; Kalika Bali; Monojit Choudhury;
2020 12 Quantifying Attention Flow In Transformers
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Highlight: In this paper, we consider the problem of quantifying this flow of information through self-attention.		 Samira Abnar; Willem Zuidema;
2020 13 GoEmotions: A Dataset Of Fine-Grained Emotions
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Highlight: We introduce GoEmotions, the largest manually annotated dataset of 58k English Reddit comments, labeled for 27 emotion categories or Neutral.		 DOROTTYA DEMSZKY et. al.
2020 14 A Unified MRC Framework For Named Entity Recognition
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Highlight: In this paper, we propose a unified framework that is capable of handling both flat and nested NER tasks.		 XIAOYA LI et. al.
2020 15 TaPas: Weakly Supervised Table Parsing Via Pre-training
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Highlight: In this paper, we present TaPas, an approach to question answering over tables without generating logical forms.		 Jonathan Herzig; Pawel Krzysztof Nowak; Thomas Müller; Francesco Piccinno; Julian Eisenschlos;
2019 1 Transformer-XL: Attentive Language Models Beyond A Fixed-Length Context
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Highlight: We propose a novel neural architecture Transformer-XL that enables learning dependency beyond a fixed length without disrupting temporal coherence.		 ZIHANG DAI et. al.
2019 2 Energy And Policy Considerations For Deep Learning In NLP
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Highlight: In this paper we bring this issue to the attention of NLP researchers by quantifying the approximate financial and environmental costs of training a variety of recently successful neural network models for NLP.		 Emma Strubell; Ananya Ganesh; Andrew McCallum,;
2019 3 HellaSwag: Can A Machine Really Finish Your Sentence?
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Highlight: In this paper, we show that commonsense inference still proves difficult for even state-of-the-art models, by presenting HellaSwag, a new challenge dataset.		 Rowan Zellers; Ari Holtzman; Yonatan Bisk; Ali Farhadi; Yejin Choi,;
2019 4 BERT Rediscovers The Classical NLP Pipeline
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Highlight: We focus on one such model, BERT, and aim to quantify where linguistic information is captured within the network.		 Ian Tenney; Dipanjan Das; Ellie Pavlick,;
2019 5 ERNIE: Enhanced Language Representation With Informative Entities
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Highlight: In this paper, we utilize both large-scale textual corpora and KGs to train an enhanced language representation model (ERNIE), which can take full advantage of lexical, syntactic, and knowledge information simultaneously.		 ZHENGYAN ZHANG et. al.
2019 6 How Multilingual Is Multilingual BERT?
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Highlight: In this paper, we show that Multilingual BERT (M-BERT), released by Devlin et al. (2018) as a single language model pre-trained from monolingual corpora in 104 languages, is surprisingly good at zero-shot cross-lingual model transfer, in which task-specific annotations in one language are used to fine-tune the model for evaluation in another language.		 Telmo Pires; Eva Schlinger; Dan Garrette,;
2019 7 Multi-Task Deep Neural Networks For Natural Language Understanding
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Highlight: In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple natural language understanding (NLU) tasks.		 Xiaodong Liu; Pengcheng He; Weizhu Chen; Jianfeng Gao,;
2019 8 What Does BERT Learn About The Structure Of Language?
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Highlight: In this work, we provide novel support for this claim by performing a series of experiments to unpack the elements of English language structure learned by BERT.		 Ganesh Jawahar; Benoît Sagot; Djamé Seddah,;
2019 9 Right For The Wrong Reasons: Diagnosing Syntactic Heuristics In Natural Language Inference
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Highlight: A machine learning system can score well on a given test set by relying on heuristics that are effective for frequent example types but break down in more challenging cases. We study this issue within natural language inference (NLI), the task of determining whether one sentence entails another.		 Tom McCoy; Ellie Pavlick; Tal Linzen,;
2019 10 Multimodal Transformer For Unaligned Multimodal Language Sequences
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Highlight: In this paper, we introduce the Multimodal Transformer (MulT) to generically address the above issues in an end-to-end manner without explicitly aligning the data.		 YAO-HUNG HUBERT TSAI et. al.
2019 11 Analyzing Multi-Head Self-Attention: Specialized Heads Do The Heavy Lifting, The Rest Can Be Pruned
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Highlight: In this work we evaluate the contribution made by individual attention heads to the overall performance of the model and analyze the roles played by them in the encoder.		 Elena Voita; David Talbot; Fedor Moiseev; Rico Sennrich; Ivan Titov,;
2019 12 Latent Retrieval For Weakly Supervised Open Domain Question Answering
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Highlight: We show for the first time that it is possible to jointly learn the retriever and reader from question-answer string pairs and without any IR system.		 Kenton Lee; Ming-Wei Chang; Kristina Toutanova,;
2019 13 MELD: A Multimodal Multi-Party Dataset For Emotion Recognition In Conversations
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Highlight: Thus, we propose the Multimodal EmotionLines Dataset (MELD), an extension and enhancement of EmotionLines.		 SOUJANYA PORIA et. al.
2019 14 COMET: Commonsense Transformers For Automatic Knowledge Graph Construction
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Highlight: We present the first comprehensive study on automatic knowledge base construction for two prevalent commonsense knowledge graphs: ATOMIC (Sap et al., 2019) and ConceptNet (Speer et al., 2017).		 ANTOINE BOSSELUT et. al.
2019 15 Towards Empathetic Open-domain Conversation Models: A New Benchmark And Dataset
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Highlight: This work proposes a new benchmark for empathetic dialogue generation and EmpatheticDialogues, a novel dataset of 25k conversations grounded in emotional situations.		 Hannah Rashkin; Eric Michael Smith; Margaret Li; Y-Lan Boureau,;
2018 1 Universal Language Model Fine-tuning For Text Classification
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Highlight: We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning method that can be applied to any task in NLP, and introduce techniques that are key for fine-tuning a language model.		 Jeremy Howard; Sebastian Ruder;
2018 2 Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
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Highlight: We present a new dataset of image caption annotations, Conceptual Captions, which contains an order of magnitude more images than the MS-COCO dataset (Lin et al., 2014) and represents a wider variety of both images and image caption styles.		 Piyush Sharma; Nan Ding; Sebastian Goodman; Radu Soricut;
2018 3 Hierarchical Neural Story Generation
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Highlight: We explore story generation: creative systems that can build coherent and fluent passages of text about a topic. We collect a large dataset of 300K human-written stories paired with writing prompts from an online forum.		 Angela Fan; Mike Lewis; Yann Dauphin;
2018 4 Personalizing Dialogue Agents: I Have A Dog, Do You Have Pets Too?
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Highlight: In this work we present the task of making chit-chat more engaging by conditioning on profile information.		 SAIZHENG ZHANG et. al.
2018 5 Subword Regularization: Improving Neural Network Translation Models With Multiple Subword Candidates
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Highlight: The question addressed in this paper is whether it is possible to harness the segmentation ambiguity as a noise to improve the robustness of NMT.		 Taku Kudo;
2018 6 HotFlip: White-Box Adversarial Examples For Text Classification
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Highlight: We propose an efficient method to generate white-box adversarial examples to trick a character-level neural classifier.		 Javid Ebrahimi; Anyi Rao; Daniel Lowd; Dejing Dou;
2018 7 Multimodal Language Analysis In The Wild: CMU-MOSEI Dataset And Interpretable Dynamic Fusion Graph
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Highlight: In this paper we introduce CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI), the largest dataset of sentiment analysis and emotion recognition to date.		 AmirAli Bagher Zadeh; Paul Pu Liang; Soujanya Poria; Erik Cambria; Louis-Philippe Morency;
2018 8 Know What You Don’t Know: Unanswerable Questions For SQuAD
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Highlight: To address these weaknesses, we present SQuADRUn, a new dataset that combines the existing Stanford Question Answering Dataset (SQuAD) with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones.		 Pranav Rajpurkar; Robin Jia; Percy Liang;
2018 9 Chinese NER Using Lattice LSTM
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Highlight: We investigate a lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon.		 Yue Zhang; Jie Yang;
2018 10 A Stylometric Inquiry Into Hyperpartisan And Fake News
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Highlight: We report on a comparative style analysis of hyperpartisan (extremely one-sided) news and fake news.		 Martin Potthast; Johannes Kiesel; Kevin Reinartz; Janek Bevendorff; Benno Stein;
2018 11 Fast Abstractive Summarization With Reinforce-Selected Sentence Rewriting
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Highlight: Inspired by how humans summarize long documents, we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively (i.e., compresses and paraphrases) to generate a concise overall summary.		 Yen-Chun Chen; Mohit Bansal;
2018 12 A Robust Self-learning Method For Fully Unsupervised Cross-lingual Mappings Of Word Embeddings
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Highlight: This work proposes an alternative approach based on a fully unsupervised initialization that explicitly exploits the structural similarity of the embeddings, and a robust self-learning algorithm that iteratively improves this solution.		 Mikel Artetxe; Gorka Labaka; Eneko Agirre;
2018 13 Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
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Highlight: In this paper, we propose the Low-rank Multimodal Fusion method, which performs multimodal fusion using low-rank tensors to improve efficiency.		 ZHUN LIU et. al.
2018 14 Constituency Parsing With A Self-Attentive Encoder
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Highlight: We demonstrate that replacing an LSTM encoder with a self-attentive architecture can lead to improvements to a state-of-the-art discriminative constituency parser.		 Nikita Kitaev; Dan Klein;
2018 15 Aspect Based Sentiment Analysis With Gated Convolutional Networks
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Highlight: We propose a model based on convolutional neural networks and gating mechanisms, which is more accurate and efficient.		 Wei Xue; Tao Li;
2017 1 Get To The Point: Summarization With Pointer-Generator Networks
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Highlight: In this work we propose a novel architecture that augments the standard sequence-to-sequence attentional model in two orthogonal ways.		 Abigail See; Peter J. Liu; Christopher D. Manning;
2017 2 TriviaQA: A Large Scale Distantly Supervised Challenge Dataset For Reading Comprehension
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Highlight: We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples.		 Mandar Joshi; Eunsol Choi; Daniel Weld; Luke Zettlemoyer;
2017 3 Reading Wikipedia To Answer Open-Domain Questions
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Highlight: This paper proposes to tackle open-domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article.		 Danqi Chen; Adam Fisch; Jason Weston; Antoine Bordes;
2017 4 Enhanced LSTM For Natural Language Inference
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Highlight: In this paper, we present a new state-of-the-art result, achieving the accuracy of 88.6% on the Stanford Natural Language Inference Dataset.		 QIAN CHEN et. al.
2017 5 Learning Discourse-level Diversity For Neural Dialog Models Using Conditional Variational Autoencoders
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Highlight: Unlike past work that has focused on diversifying the output of the decoder from word-level to alleviate this problem, we present a novel framework based on conditional variational autoencoders that capture the discourse-level diversity in the encoder.		 Tiancheng Zhao; Ran Zhao; Maxine Eskenazi;
2017 6 Gated Self-Matching Networks For Reading Comprehension And Question Answering
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Highlight: In this paper, we present the gated self-matching networks for reading comprehension style question answering, which aims to answer questions from a given passage.		 Wenhui Wang; Nan Yang; Furu Wei; Baobao Chang; Ming Zhou;
2017 7 Context-Dependent Sentiment Analysis In User-Generated Videos
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Highlight: In this paper, we propose a LSTM-based model that enables utterances to capture contextual information from their surroundings in the same video, thus aiding the classification process.		 SOUJANYA PORIA et. al.
2017 8 Semi-supervised Sequence Tagging With Bidirectional Language Models
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Highlight: In this paper, we demonstrate a general semi-supervised approach for adding pretrained context embeddings from bidirectional language models to NLP systems and apply it to sequence labeling tasks.		 Matthew Peters; Waleed Ammar; Chandra Bhagavatula; Russell Power;
2017 9 Learning To Ask: Neural Question Generation For Reading Comprehension
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Highlight: We introduce an attention-based sequence learning model for the task and investigate the effect of encoding sentence- vs. paragraph-level information.		 Xinya Du; Junru Shao; Claire Cardie;
2017 10 Deep Pyramid Convolutional Neural Networks For Text Categorization
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Highlight: This paper proposes a low-complexity word-level deep convolutional neural network (CNN) architecture for text categorization that can efficiently represent long-range associations in text.		 Rie Johnson; Tong Zhang;
2017 11 Adversarial Multi-task Learning For Text Classification
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Highlight: In this paper, we propose an adversarial multi-task learning framework, alleviating the shared and private latent feature spaces from interfering with each other.		 Pengfei Liu; Xipeng Qiu; Xuanjing Huang;
2017 12 Joint Extraction Of Entities And Relations Based On A Novel Tagging Scheme
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Highlight: What’s more, the end-to-end model proposed in this paper, achieves the best results on the public dataset.		 SUNCONG ZHENG et. al.
2017 13 Program Induction By Rationale Generation: Learning To Solve And Explain Algebraic Word Problems
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Highlight: To make this task more feasible, we solve these problems by generating answer rationales, sequences of natural language and human-readable mathematical expressions that derive the final answer through a series of small steps. To evaluate our approach, we have created a new 100,000-sample dataset of questions, answers and rationales.		 Wang Ling; Dani Yogatama; Chris Dyer; Phil Blunsom;
2017 14 Detect Rumors In Microblog Posts Using Propagation Structure Via Kernel Learning
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Highlight: In this paper, we attempt to address the problem of identifying rumors, i.e., fake information, out of microblog posts based on their propagation structure.		 Jing Ma; Wei Gao; Kam-Fai Wong;
2017 15 Learning Bilingual Word Embeddings With (almost) No Bilingual Data
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Highlight: Our method exploits the structural similarity of embedding spaces, and works with as little bilingual evidence as a 25 word dictionary or even an automatically generated list of numerals, obtaining results comparable to those of systems that use richer resources.		 Mikel Artetxe; Gorka Labaka; Eneko Agirre;
2016 1 Neural Machine Translation Of Rare Words With Subword Units
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 Rico Sennrich; Barry Haddow; Alexandra Birch;
2016 2 End-to-end Sequence Labeling Via Bi-directional LSTM-CNNs-CRF
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 Xuezhe Ma; Eduard Hovy;
2016 3 Improving Neural Machine Translation Models With Monolingual Data
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 Rico Sennrich; Barry Haddow; Alexandra Birch;
2016 4 Attention-Based Bidirectional Long Short-Term Memory Networks For Relation Classification
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 PENG ZHOU et. al.
2016 5 Incorporating Copying Mechanism In Sequence-to-Sequence Learning
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 Jiatao Gu; Zhengdong Lu; Hang Li; Victor O.K. Li;
2016 6 End-to-End Relation Extraction Using LSTMs On Sequences And Tree Structures
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 Makoto Miwa; Mohit Bansal;
2016 7 A Persona-Based Neural Conversation Model
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 JIWEI LI et. al.
2016 8 Neural Relation Extraction With Selective Attention Over Instances
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 Yankai Lin; Shiqi Shen; Zhiyuan Liu; Huanbo Luan; Maosong Sun;
2016 9 Diachronic Word Embeddings Reveal Statistical Laws Of Semantic Change
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 William L. Hamilton; Jure Leskovec; Dan Jurafsky;
2016 10 Neural Summarization By Extracting Sentences And Words
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 Jianpeng Cheng; Mirella Lapata;
2016 11 Modeling Coverage For Neural Machine Translation
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 Zhaopeng Tu; Zhengdong Lu; Yang Liu; Xiaohua Liu; Hang Li;
2016 12 Language To Logical Form With Neural Attention
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 Li Dong; Mirella Lapata;
2016 13 Summarizing Source Code Using A Neural Attention Model
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 Srinivasan Iyer; Ioannis Konstas; Alvin Cheung; Luke Zettlemoyer;
2016 14 Harnessing Deep Neural Networks With Logic Rules
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 Zhiting Hu; Xuezhe Ma; Zhengzhong Liu; Eduard Hovy; Eric Xing;
2016 15 Globally Normalized Transition-Based Neural Networks
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 DANIEL ANDOR et. al.
2015 1 Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
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 Kai Sheng Tai; Richard Socher; Christopher D. Manning;
2015 2 Knowledge Graph Embedding Via Dynamic Mapping Matrix
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 Guoliang Ji; Shizhu He; Liheng Xu; Kang Liu; Jun Zhao;
2015 3 Neural Responding Machine For Short-Text Conversation
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 Lifeng Shang; Zhengdong Lu; Hang Li;
2015 4 On Using Very Large Target Vocabulary For Neural Machine Translation
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 Sébastien Jean; Kyunghyun Cho; Roland Memisevic; Yoshua Bengio;
2015 5 Deep Unordered Composition Rivals Syntactic Methods For Text Classification
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 Mohit Iyyer; Varun Manjunatha; Jordan Boyd-Graber; Hal Daumé III;
2015 6 Transition-Based Dependency Parsing With Stack Long Short-Term Memory
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 Chris Dyer; Miguel Ballesteros; Wang Ling; Austin Matthews; Noah A. Smith;
2015 7 Event Extraction Via Dynamic Multi-Pooling Convolutional Neural Networks
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 Yubo Chen; Liheng Xu; Kang Liu; Daojian Zeng; Jun Zhao;
2015 8 Addressing The Rare Word Problem In Neural Machine Translation
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 Thang Luong; Ilya Sutskever; Quoc Le; Oriol Vinyals; Wojciech Zaremba;
2015 9 Semantic Parsing Via Staged Query Graph Generation: Question Answering With Knowledge Base
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 Wen-tau Yih; Ming-Wei Chang; Xiaodong He; Jianfeng Gao;
2015 10 Leveraging Linguistic Structure For Open Domain Information Extraction
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 Gabor Angeli; Melvin Jose Johnson Premkumar; Christopher D. Manning;
2015 11 Compositional Semantic Parsing On Semi-Structured Tables
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 Panupong Pasupat; Percy Liang;
2015 12 A Hierarchical Neural Autoencoder For Paragraphs And Documents
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 Jiwei Li; Thang Luong; Dan Jurafsky;
2015 13 Multi-Task Learning For Multiple Language Translation
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 Daxiang Dong; Hua Wu; Wei He; Dianhai Yu; Haifeng Wang;
2015 14 Classifying Relations By Ranking With Convolutional Neural Networks
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 Cícero dos Santos; Bing Xiang; Bowen Zhou;
2015 15 Question Answering Over Freebase With Multi-Column Convolutional Neural Networks
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 Li Dong; Furu Wei; Ming Zhou; Ke Xu;
2014 1 A Convolutional Neural Network For Modelling Sentences
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 Nal Kalchbrenner; Edward Grefenstette; Phil Blunsom;
2014 2 Don’t Count, Predict! A Systematic Comparison Of Context-counting Vs. Context-predicting Semantic Vectors
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 Marco Baroni; Georgiana Dinu; Germán Kruszewski;
2014 3 Learning Sentiment-Specific Word Embedding For Twitter Sentiment Classification
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 DUYU TANG et. al.
2014 4 Dependency-Based Word Embeddings
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 Omer Levy; Yoav Goldberg;
2014 5 Adaptive Recursive Neural Network For Target-dependent Twitter Sentiment Classification
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 LI DONG et. al.
2014 6 Fast And Robust Neural Network Joint Models For Statistical Machine Translation
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 JACOB DEVLIN et. al.
2014 7 Semantic Parsing Via Paraphrasing
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 Jonathan Berant; Percy Liang;
2014 8 Automatic Keyphrase Extraction: A Survey Of The State Of The Art
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 Kazi Saidul Hasan; Vincent Ng;
2014 9 Information Extraction Over Structured Data: Question Answering With Freebase
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 Xuchen Yao; Benjamin Van Durme;
2014 10 Incremental Joint Extraction Of Entity Mentions And Relations
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 Qi Li; Heng Ji;
2014 11 Semantic Parsing For Single-Relation Question Answering
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 Wen-tau Yih; Xiaodong He; Christopher Meek;
2014 12 Learning To Automatically Solve Algebra Word Problems
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 Nate Kushman; Yoav Artzi; Luke Zettlemoyer; Regina Barzilay;
2014 13 Towards A General Rule For Identifying Deceptive Opinion Spam
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 Jiwei Li; Myle Ott; Claire Cardie; Eduard Hovy;
2014 14 A Discriminative Graph-Based Parser For The Abstract Meaning Representation
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 Jeffrey Flanigan; Sam Thomson; Jaime Carbonell; Chris Dyer; Noah A. Smith;
2014 15 Multilingual Models For Compositional Distributed Semantics
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2013 1 Parsing With Compositional Vector Grammars
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2013 2 Scalable Modified Kneser-Ney Language Model Estimation
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2013 3 Universal Dependency Annotation For Multilingual Parsing
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2013 4 Joint Event Extraction Via Structured Prediction With Global Features
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2013 5 A Computational Approach To Politeness With Application To Social Factors
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2013 6 Paraphrase-Driven Learning For Open Question Answering
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2013 7 Linking And Extending An Open Multilingual Wordnet
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2013 8 Smatch: An Evaluation Metric For Semantic Feature Structures
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2013 9 Linguistic Models For Analyzing And Detecting Biased Language
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2013 10 Large-scale Semantic Parsing Via Schema Matching And Lexicon Extension
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2013 11 Question Answering Using Enhanced Lexical Semantic Models
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2013 12 Exploiting Topic Based Twitter Sentiment For Stock Prediction
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2013 13 Learning Latent Personas Of Film Characters
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2013 14 LABR: A Large Scale Arabic Book Reviews Dataset
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2013 15 Utterance-Level Multimodal Sentiment Analysis
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2012 1 Baselines And Bigrams: Simple, Good Sentiment And Topic Classification
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2012 2 Improving Word Representations Via Global Context And Multiple Word Prototypes
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2012 3 Syntactic Stylometry For Deception Detection
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2012 4 Collective Generation Of Natural Image Descriptions
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2012 5 Distributional Semantics In Technicolor
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2012 6 Aspect Extraction Through Semi-Supervised Modeling
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2012 7 Sentence Simplification By Monolingual Machine Translation
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2012 8 Finding Bursty Topics From Microblogs
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2012 9 A Nonparametric Bayesian Approach To Acoustic Model Discovery
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2012 10 Reducing Wrong Labels In Distant Supervision For Relation Extraction
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2012 11 Cross-Domain Co-Extraction Of Sentiment And Topic Lexicons
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2012 12 Text-level Discourse Parsing With Rich Linguistic Features
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2012 13 A Broad-Coverage Normalization System For Social Media Language
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2012 14 Selective Sharing For Multilingual Dependency Parsing
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2012 15 Combining Textual Entailment And Argumentation Theory For Supporting Online Debates Interactions
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2011 1 Learning Word Vectors For Sentiment Analysis
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2011 2 Finding Deceptive Opinion Spam By Any Stretch Of The Imagination
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2011 3 Collecting Highly Parallel Data For Paraphrase Evaluation
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2011 4 Part-of-Speech Tagging For Twitter: Annotation, Features, And Experiments
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2011 5 Target-dependent Twitter Sentiment Classification
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2011 6 Knowledge-Based Weak Supervision For Information Extraction Of Overlapping Relations
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2011 7 A Class Of Submodular Functions For Document Summarization
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2011 8 Local And Global Algorithms For Disambiguation To Wikipedia
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2011 9 Identifying Sarcasm In Twitter: A Closer Look
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 Roberto González-Ibáñez; Smaranda Muresan; Nina Wacholder;
2011 10 Learning Dependency-Based Compositional Semantics
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2011 11 Lexical Normalisation Of Short Text Messages: Makn Sens A #twitter
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2011 12 A New Dataset And Method For Automatically Grading ESOL Texts
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2011 13 Better Hypothesis Testing For Statistical Machine Translation: Controlling For Optimizer Instability
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 Jonathan H. Clark; Chris Dyer; Alon Lavie; Noah A. Smith;
2011 14 Recognizing Named Entities In Tweets
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2011 15 Crowdsourcing Translation: Professional Quality From Non-Professionals
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2010 1 Word Representations: A Simple And General Method For Semi-Supervised Learning
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2010 2 Open Information Extraction Using Wikipedia
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2010 3 Intelligent Selection Of Language Model Training Data
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2010 4 BabelNet: Building A Very Large Multilingual Semantic Network
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2010 5 Practical Very Large Scale CRFs
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2010 6 A Study Of Information Retrieval Weighting Schemes For Sentiment Analysis
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2010 7 Extracting Social Networks From Literary Fiction
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2010 8 Using Document Level Cross-Event Inference To Improve Event Extraction
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2010 9 Cross-Language Text Classification Using Structural Correspondence Learning
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2010 10 Supervised Noun Phrase Coreference Research: The First Fifteen Years
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2010 11 Efficient Third-Order Dependency Parsers
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2010 12 Dynamic Programming For Linear-Time Incremental Parsing
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2010 13 Knowledge-Rich Word Sense Disambiguation Rivaling Supervised Systems
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2010 14 Learning To Follow Navigational Directions
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2010 15 A Latent Dirichlet Allocation Method For Selectional Preferences
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2009 1 Distant Supervision For Relation Extraction Without Labeled Data
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2009 2 Co-Training For Cross-Lingual Sentiment Classification
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2009 3 Unsupervised Learning Of Narrative Schemas And Their Participants
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2009 4 The Lie Detector: Explorations In The Automatic Recognition Of Deceptive Language
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2009 5 Learning Semantic Correspondences With Less Supervision
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2009 6 Reinforcement Learning For Mapping Instructions To Actions
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2009 7 Recognizing Stances In Online Debates
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2009 8 Automatic Sense Prediction For Implicit Discourse Relations In Text
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2009 9 Bayesian Unsupervised Word Segmentation With Nested Pitman-Yor Language Modeling
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2009 10 Non-Projective Dependency Parsing In Expected Linear Time
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2009 11 Using Syntax To Disambiguate Explicit Discourse Connectives In Text
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2009 12 Stochastic Gradient Descent Training For L1-regularized Log-linear Models With Cumulative Penalty
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2009 13 Phrase Clustering For Discriminative Learning
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2009 14 Paraphrase Identification As Probabilistic Quasi-Synchronous Recognition
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2009 15 A Non-negative Matrix Tri-factorization Approach To Sentiment Classification With Lexical Prior Knowledge
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2008 1 Vector-based Models Of Semantic Composition
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2008 2 A Joint Model Of Text And Aspect Ratings For Sentiment Summarization
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2008 3 Unsupervised Learning Of Narrative Event Chains
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2008 4 Simple Semi-supervised Dependency Parsing
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2008 5 Refining Event Extraction Through Cross-Document Inference
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2008 6 The Tradeoffs Between Open And Traditional Relation Extraction
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2008 7 Learning Bilingual Lexicons From Monolingual Corpora
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2008 8 A New String-to-Dependency Machine Translation Algorithm With A Target Dependency Language Model
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2008 9 Forest Reranking: Discriminative Parsing With Non-Local Features
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2008 10 Finding Contradictions In Text
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2008 11 Integrating Graph-Based And Transition-Based Dependency Parsers
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2008 12 Learning To Rank Answers On Large Online QA Collections
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2008 13 Pairwise Document Similarity In Large Collections With MapReduce
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2008 14 Semantic Class Learning From The Web With Hyponym Pattern Linkage Graphs
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2008 15 Efficient, Feature-based, Conditional Random Field Parsing
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2007 1 Moses: Open Source Toolkit For Statistical Machine Translation
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2007 2 Biographies, Bollywood, Boom-boxes And Blenders: Domain Adaptation For Sentiment Classification
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2007 3 Frustratingly Easy Domain Adaptation
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2007 4 Instance Weighting For Domain Adaptation In NLP
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2007 5 A Fully Bayesian Approach To Unsupervised Part-of-speech Tagging
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2007 6 Structured Models For Fine-to-Coarse Sentiment Analysis
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2007 7 Word Sense Disambiguation Improves Statistical Machine Translation
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2007 8 Forest Rescoring: Faster Decoding With Integrated Language Models
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2007 9 Learning To Extract Relations From The Web Using Minimal Supervision
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2007 10 Statistical Machine Translation For Query Expansion In Answer Retrieval
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2007 11 Guiding Semi-Supervision With Constraint-Driven Learning
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2007 12 Exploiting Syntactic And Shallow Semantic Kernels For Question Answer Classification
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2007 13 Guided Learning For Bidirectional Sequence Classification
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2007 14 Opinion Mining Using Econometrics: A Case Study On Reputation Systems
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2007 15 Towards An Iterative Reinforcement Approach For Simultaneous Document Summarization And Keyword Extraction
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2006 1 Learning Accurate, Compact, And Interpretable Tree Annotation
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2006 2 Espresso: Leveraging Generic Patterns For Automatically Harvesting Semantic Relations
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2006 3 A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
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2006 4 Semantic Taxonomy Induction From Heterogenous Evidence
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2006 5 Scalable Inference And Training Of Context-Rich Syntactic Translation Models
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2006 6 Tree-to-String Alignment Template For Statistical Machine Translation
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2006 7 Contextual Dependencies In Unsupervised Word Segmentation
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2006 8 Word Sense And Subjectivity
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2006 9 An End-to-End Discriminative Approach To Machine Translation
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2006 10 Examining The Role Of Linguistic Knowledge Sources In The Automatic Identification And Classification Of Reviews
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2006 11 Machine Learning Of Temporal Relations
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2006 12 A Composite Kernel To Extract Relations Between Entities With Both Flat And Structured Features
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2006 13 Reranking And Self-Training For Parser Adaptation
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2006 14 A Phrase-Based Statistical Model For SMS Text Normalization
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2006 15 Using String-Kernels For Learning Semantic Parsers
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2005 1 Incorporating Non-local Information Into Information Extraction Systems By Gibbs Sampling
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2005 2 Seeing Stars: Exploiting Class Relationships For Sentiment Categorization With Respect To Rating Scales
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2005 3 A Hierarchical Phrase-Based Model For Statistical Machine Translation
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2005 4 Coarse-to-Fine N-Best Parsing And MaxEnt Discriminative Reranking
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2005 5 Online Large-Margin Training Of Dependency Parsers
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2005 6 Modeling Local Coherence: An Entity-Based Approach
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2005 7 Exploring Various Knowledge In Relation Extraction
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2005 8 Paraphrasing With Bilingual Parallel Corpora
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2005 9 Clause Restructuring For Statistical Machine Translation
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2005 10 Using Emoticons To Reduce Dependency In Machine Learning Techniques For Sentiment Classification
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2005 11 Arabic Tokenization, Part-of-Speech Tagging And Morphological Disambiguation In One Fell Swoop
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2005 12 Dependency Treelet Translation: Syntactically Informed Phrasal SMT
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2005 13 Extracting Semantic Orientations Of Words Using Spin Model
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2005 14 Contrastive Estimation: Training Log-Linear Models On Unlabeled Data
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2005 15 Extracting Relations With Integrated Information Using Kernel Methods
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2004 1 A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based On Minimum Cuts
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2004 2 Dependency Tree Kernels For Relation Extraction
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2004 3 Automatic Evaluation Of Machine Translation Quality Using Longest Common Subsequence And Skip-Bigram Statistics
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2004 4 Corpus-Based Induction Of Syntactic Structure: Models Of Dependency And Constituency
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2004 5 Discovering Relations Among Named Entities From Large Corpora
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2004 6 Incremental Parsing With The Perceptron Algorithm
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2004 7 Finding Predominant Word Senses In Untagged Text
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2004 8 Parsing The WSJ Using CCG And Log-Linear Models
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2004 9 Classifying Semantic Relations In Bioscience Texts
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2004 10 A Joint Source-Channel Model For Machine Transliteration
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2004 11 A Study On Convolution Kernels For Shallow Statistic Parsing
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2004 12 A Mention-Synchronous Coreference Resolution Algorithm Based On The Bell Tree
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2004 13 Multi-Criteria-based Active Learning For Named Entity Recognition
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2004 14 Identifying Agreement And Disagreement In Conversational Speech: Use Of Bayesian Networks To Model Pragmatic Dependencies
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2004 15 Discriminative Language Modeling With Conditional Random Fields And The Perceptron Algorithm
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2003 1 Accurate Unlexicalized Parsing
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2003 2 Minimum Error Rate Training In Statistical Machine Translation
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2003 3 Using Predicate-Argument Structures For Information Extraction
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2003 4 Discourse Segmentation Of Multi-Party Conversation
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2003 5 Probabilistic Text Structuring: Experiments With Sentence Ordering
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2003 6 Learning Non-Isomorphic Tree Mappings For Machine Translation
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2003 7 Is It Harder To Parse Chinese, Or The Chinese Treebank?
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2003 8 Towards A Model Of Face-to-Face Grounding
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2003 9 Loosely Tree-Based Alignment For Machine Translation
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2003 10 Reliable Measures For Aligning Japanese-English News Articles And Sentences
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2003 11 Fast Methods For Kernel-Based Text Analysis
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2003 12 Exploiting Parallel Texts For Word Sense Disambiguation: An Empirical Study
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2003 13 Evaluation Challenges In Large-Scale Document Summarization
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2003 14 Counter-Training In Discovery Of Semantic Patterns
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2003 15 A Noisy-Channel Approach To Question Answering
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2002 1 Bleu: A Method For Automatic Evaluation Of Machine Translation
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2002 2 Thumbs Up Or Thumbs Down? Semantic Orientation Applied To Unsupervised Classification Of Reviews
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2002 3 GATE: An Architecture For Development Of Robust HLT Applications
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2002 4 Discriminative Training And Maximum Entropy Models For Statistical Machine Translation
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2002 5 Learning Surface Text Patterns For A Question Answering System
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2002 6 Improving Machine Learning Approaches To Coreference Resolution
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2002 7 Named Entity Recognition Using An HMM-based Chunk Tagger
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2002 8 New Ranking Algorithms For Parsing And Tagging: Kernels Over Discrete Structures, And The Voted Perceptron
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2002 9 An Unsupervised Approach To Recognizing Discourse Relations
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2002 10 Performance Issues And Error Analysis In An Open-Domain Question Answering System
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2002 11 Parsing The Wall Street Journal Using A Lexical-Functional Grammar And Discriminative Estimation Techniques
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2002 12 Ranking Algorithms For Named Entity Extraction: Boosting And The VotedPerceptron
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2002 13 An Unsupervised Method For Word Sense Tagging Using Parallel Corpora
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2002 14 Translating Named Entities Using Monolingual And Bilingual Resources
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2002 15 MATCH: An Architecture For Multimodal Dialogue Systems
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2001 1 A Syntax-based Statistical Translation Model
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2001 2 Scaling To Very Very Large Corpora For Natural Language Disambiguation
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2001 3 Extracting Paraphrases From A Parallel Corpus
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2001 4 Immediate-Head Parsing For Language Models
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2001 5 A Statistical Model For Domain-Independent Text Segmentation
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2001 6 Fast Decoding And Optimal Decoding For Machine Translation
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2001 7 Towards Abstract Categorial Grammars
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2001 8 Quantitative And Qualitative Evaluation Of Darpa Communicator Spoken Dialogue Systems
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2001 9 Methods For The Qualitative Evaluation Of Lexical Association Measures
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2001 10 Non-Verbal Cues For Discourse Structure
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2001 11 A Machine Learning Approach To The Automatic Evaluation Of Machine Translation
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2001 12 An Algebra For Semantic Construction In Constraint-based Grammars
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2001 13 Logic Form Transformation Of WordNet And Its Applicability To Question Answering
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2001 14 Topological Dependency Trees: A Constraint-Based Account Of Linear Precedence
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2001 15 Towards A Unified Approach To Memory- And Statistical-Based Machine Translation
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2000 1 Automatic Labeling Of Semantic Roles
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2000 2 Improved Statistical Alignment Models
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2000 3 An Improved Error Model For Noisy Channel Spelling Correction
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2000 4 Robust Temporal Processing Of News
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2000 5 Spoken Dialogue Management Using Probabilistic Reasoning
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2000 6 Headline Generation Based On Statistical Translation
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2000 7 Extracting Causal Knowledge From A Medical Database Using Graphical Patterns
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2000 8 The Structure And Performance Of An Open-Domain Question Answering System
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2000 9 Minimally Supervised Morphological Analysis By Multimodal Alignment
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2000 10 Statistical Parsing With An Automatically-Extracted Tree Adjoining Grammar
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2000 11 Independence And Commitment: Assumptions For Rapid Training And Execution Of Rule-based POS Taggers
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2000 12 Query-Relevant Summarization Using FAQs
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2000 13 Coreference For NLP Applications
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2000 14 Corpus-Based Lexical Choice In Natural Language Generation
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2000 15 Rule Writing Or Annotation: Cost-efficient Resource Usage For Base Noun Phrase Chunking
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1999 1 Untangling Text Data Mining
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1999 2 Measures Of Distributional Similarity
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1999 3 Automatic Identification Of Word Translations From Unrelated English And German Corpora
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1999 4 Finding Parts In Very Large Corpora
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1999 5 Development And Use Of A Gold-Standard Data Set For Subjectivity Classifications
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1999 6 Information Fusion In The Context Of Multi-Document Summarization
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1999 7 Automatic Construction Of A Hypernym-labeled Noun Hierarchy From Text
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1999 8 The CommandTalk Spoken Dialogue System
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1999 9 Mining The Web For Bilingual Text
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1999 10 Deep Read: A Reading Comprehension System
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1999 11 A Statistical Parser For Czech
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1999 12 Automatic Identification Of Non-compositional Phrases
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1999 13 A Second-Order Hidden Markov Model For Part-of-Speech Tagging
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1999 14 Efficient Parsing For Bilexical Context-Free Grammars And Head Automaton Grammars
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1999 15 Inducing A Semantically Annotated Lexicon Via EM-Based Clustering
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1998 1 The Berkeley FrameNet Project
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1998 2 Automatic Retrieval And Clustering Of Similar Words
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1998 3 Entity-Based Cross-Document Coreferencing Using The Vector Space Model
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1998 4 Generation That Exploits Corpus-Based Statistical Knowledge
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1998 5 An IR Approach For Translating New Words From Nonparallel, Comparable Texts
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1998 6 Robust Pronoun Resolution With Limited Knowledge
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1998 7 MindNet: Acquiring And Structuring Semantic Information From Text
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1998 8 Exploiting Syntactic Structure For Language Modeling
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1998 9 Classifier Combination For Improved Lexical Disambiguation
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1998 10 Unification-based Multimodal Parsing
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1998 11 Automated Scoring Using A Hybrid Feature Identification Technique
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1998 12 Tagging Inflective Languages: Prediction Of Morphological Categories For A Rich Structured Tagset
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1998 13 Dialogue Act Tagging With Transformation-Based Learning
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1998 14 Learning Optimal Dialogue Strategies: A Case Study Of A Spoken Dialogue Agent For Email
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1998 15 Improving Data Driven Wordclass Tagging By System Combination
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1997 1 Predicting The Semantic Orientation Of Adjectives
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1997 2 Three Generative, Lexicalised Models For Statistical Parsing
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1997 3 PARADISE: A Framework For Evaluating Spoken Dialogue Agents
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1997 4 Machine Transliteration
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1997 5 Automatic Detection Of Text Genre
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1997 6 Using Syntactic Dependency As Local Context To Resolve Word Sense Ambiguity
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1997 7 Unification-based Multimodal Integration
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1997 8 Similarity-Based Methods For Word Sense Disambiguation
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1997 9 A Word-to-Word Model Of Translational Equivalence
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1997 10 Decoding Algorithm In Statistical Machine Translation
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1997 11 The Rhetorical Parsing Of Unrestricted Natural Language Texts
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1997 12 Sentence Planning As Description Using Tree Adjoining Grammar
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1997 13 Efficient Generation In Primitive Optimality Theory
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1997 14 Homonymy And Polysemy In Information Retrieval
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1997 15 Choosing The Word Most Typical In Context Using A Lexical Co-occurrence Network
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1996 1 An Empirical Study Of Smoothing Techniques For Language Modeling
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1996 2 A New Statistical Parser Based On Bigram Lexical Dependencies
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 Michael John Collins;
1996 3 Combining Trigram-Based And Feature-Based Methods For Context-Sensitive Spelling Correction
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 Andrew Golding; Yves Schabes;
1996 4 Integrating Multiple Knowledge Sources To Disambiguate Word Sense: An Exemplar-Based Approach
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 Hwee Tou Ng; Hian Beng Lee;
1996 5 A Robust System For Natural Spoken Dialogue
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 James F. Allen; Bradford W. Miller; Eric K. Ringger; Teresa Sikorski;
1996 6 A Polynomial-Time Algorithm For Statistical Machine Translation
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 Dekai Wu;
1996 7 A Prosodic Analysis Of Discourse Segments In Direction-Giving Monologues
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 Julia Hirschberg; Christine H. Nakatani;
1996 8 Parsing Algorithms And Metrics
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 Joshua Goodman;
1996 9 A Fully Statistical Approach To Natural Language Interfaces
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 Scott Miller; David Stallard; Robert Bobrow; Richard Schwartz;
1996 10 An Efficient Compiler For Weighted Rewrite Rules
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 Mehryar Mohri; Richard Sproat;
1996 11 Noun Phrase Analysis In Large Unrestricted Text For Information Retrieval
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 David A. Evans; Chengxiang Zhai;
1996 12 Chart Generation
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 Martin Kay;
1996 13 Minimizing Manual Annotation Cost In Supervised Training From Corpora
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 Sean P. Engelson; Ido Dagan;
1996 14 Efficient Normal-Form Parsing For Combinatory Categorial Grammar
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 Jason Eisner;
1996 15 Functional Centering
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 Michael Strube; Udo Hahn;
1995 1 Unsupervised Word Sense Disambiguation Rivaling Supervised Methods
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 David Yarowsky;
1995 2 Statistical Decision-Tree Models For Parsing
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 David M. Magerman;
1995 3 Identifying Word Translations In Non-Parallel Texts
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 Reinhard Rapp;
1995 4 Evaluating Automated And Manual Acquisition Of Anaphora Resolution Strategies
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 Chinatsu Aone; Scott William;
1995 5 Two-Level, Many-Paths Generation
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 Kevin Knight; Vasileios Hatzivassiloglou;
1995 6 The Replace Operator
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 Lauri Karttunen;
1995 7 D-Tree Grammars
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 Owen Rambow; K. Vijay-Shanker; David Weir;
1995 8 A Pattern Matching Method For Finding Noun And Proper Noun Translations From Noisy Parallel Corpora
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 Pascale Fung;
1995 9 Combining Multiple Knowledge Sources For Discourse Segmentation
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 Diane J. Litman; Rebecca J. Passonneau;
1995 10 Utilizing Statistical Dialogue Act Processing In Verbrnobil
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 Norbert Reithinger; Elisabeth Maier;
1995 11 Corpus Statistics Meet The Noun Compound: Some Empirical Results
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 Mark Lauer;
1995 12 Bayesian Grammar Induction For Language Modeling
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 Stanley F. Chen;
1995 13 Discourse Processing Of Dialogues With Multiple Threads
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 Carolyn Penstein Rosé; Barbara Di Eugenio; Lori S. Levin; Carol Van Ess-Dykema;
1995 14 An Algorithm For Simultaneously Bracketing Parallel Texts By Aligning Words
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 Dekai Wu;
1995 15 Statistical Sense Disambiguation With Relatively Small Corpora Using Dictionary Definitions
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 Alpha K. Luk;
1994 1 Verb Semantics And Lexical Selection
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 Zhibiao Wu; Martha Palmer;
1994 2 Multi-Paragraph Segmentation Expository Text
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 Marti A. Hearst;
1994 3 DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application To Accent Restoration In Spanish And French
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 David Yarowsky;
1994 4 A Stochastic Finite-State Word-Segmentation Algorithm For Chinese
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 Richard Sproat; Chilin Shih; William Gale; Nancy Chang;
1994 5 Discourse Obligations In Dialogue Processing
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 David R. Traum; James F. Allen;
1994 6 Interleaving Syntax And Semantics In An Efficient Bottom-Up Parser
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 John Dowding; Robert Moore; Francois Andry; Douglas Moran;
1994 7 Word-Sense Disambiguation Using Decomposable Models
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 Rebecca Bruce; Janyce Wiebe;
1994 8 Aligning A Parallel English-Chinese Corpus Statistically With Lexical Criteria
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 Dekai Wu;
1994 9 Similarity-Based Estimation Of Word Cooccurrence Probabilities
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 Ido Dagan; Fernando Pereira; Lillian Lee;
1994 10 An Automatic Method Of Finding Topic Boundaries
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 Jeffrey C. Reynar;
1994 11 Hidden Understanding Models Of Natural Language
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 Scott Miller; Robert Bobrow; Robert Ingria; Richard Schwartz;
1994 12 Speech Dialogue With Facial Displays: Multimodal Human-Computer Conversation
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 Katashi Nagao; Akikazu Takeuchi;
1994 13 Extracting Noun Phrases From Large-Scale Texts: A Hybrid Approach And Its Automatic Evaluation
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 Kuang-hua Chen; Hsin-Hsi Chen;
1994 14 Part-of-Speech Tagging Using A Variable Memory Markov Model
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 Hinrich Schuetze; Yoram Singer;
1994 15 Detecting And Correcting Speech Repairs
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 Peter Heeman; James Allen;
1993 1 Distributional Clustering Of English Words
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 Fernando Pereira; Naftali Tishby; Lillian Lee;
1993 2 Transfers Of Meaning
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 Geoffrey Nunberg;
1993 3 GEMINI: A Natural Language System For Spoken-Language Understanding
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 JOHN DOWDING et. al.
1993 4 Part-of-Speech Induction From Scratch
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 Hinrich Schütze;
1993 5 Aligning Sentences In Bilingual Corpora Using Lexical Information
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 Stanley F. Chen;
1993 6 An Algorithm For Finding Noun Phrase Correspondences In Bilingual Corpora
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 Julian Kupiec;
1993 7 Automatic Acquisition Of A Large Sub Categorization Dictionary From Corpora
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 Christopher D. Manning;
1993 8 Towards History-based Grammars: Using Richer Models For Probabilistic Parsing
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 EZRA BLACK et. al.
1993 9 Text Segmentation Based On Similarity Between Words
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 Hideki Kozima;
1993 10 Char_align: A Program For Aligning Parallel Texts At The Character Level
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 Kenneth Ward Church;
1993 11 Contextual Word Similarity And Estimation From Sparse Data
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 Ido Dagan; Shaul Marcus; Shaul Markovitch;
1993 12 Principle-Based Parsing Without Overgeneration
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 Dekang Lin;
1993 13 Intention-Based Segmentation: Human Reliability And Correlation With Linguistic Cues
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 Rebecca J. Passonneau; Diane J. Litman;
1993 14 Automatic Grammar Induction And Parsing Free Text: A Transformation-Based Approach
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 Eric Brill;
1993 15 Towards The Automatic Identification Of Adjectival Scales: Clustering Adjectives According To Meaning
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 Vasileios Hatzivassiloglou; Kathleen R. McKeown;
1992 1 Inside-Outside Reestimation From Partially Bracketed Corpora
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 Fernando Pereira; Yves Schabes;
1992 2 Integrating Multiple Knowledge Sources For Detection And Correction Of Repairs In Human-Computer Dialog
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 John Bear; John Dowding; Elizabeth Shriberg;
1992 3 Estimating Upper And Lower Bounds On The Performance Of Word-Sense Disambiguation Programs
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 William Gale; Kenneth Ward Church; David Yarowsky;
1992 4 An Alternative Conception Of Tree-Adjoining Derivation
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 Yves Schabes; Stuart M. Shieber;
1992 5 Monotonic Semantic Interpretation
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 Hiyan Alshawi; Richard Crouch;
1992 6 Metonymy: Reassessment, Survey Of Acceptability, And Its Treatment In A Machine Translation System
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 Shin-ichiro Kamei; Takahiro Wakao;
1992 7 A Simple But Useful Approach To Conjunct Identification
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 Rajeev Agarwal; Lois Boggess;
1992 8 Efficiency, Robustness And Accuracy In Picky Chart Parsing
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 David M. Magerman; Carl Weir;
1992 9 Inferring Discourse Relations In Context
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 Alex Lascarides; Nicholas Asher; Jon Oberlander;
1992 10 Development And Evaluation Of A Broad-Coverage Probabilistic Grammar Of English-Language Computer Manuals
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 Ezra Black; John Lafferty; Salim Roukos;
1992 11 A Class-Based Approach To Lexical Discovery
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 Philip Resnik;
1992 12 Information Retrieval Using Robust Natural Language Processing
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 Tomek Strzalkowski; Barbara Vauthey;
1992 13 SEXTANT: Exploring Unexplored Contexts For Semantic Extraction From Syntactic Analysis
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 Gregory Grefenstette;
1992 14 Modeling Negotiation Subdialogues
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 Lynn Lambert; Sandra Carberry;
1992 15 The Representation Of Multimodal User Interface Dialogues Using Discourse Pegs
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 Susann Luperfoy;
1991 1 A Program For Aligning Sentences In Bilingual Corpora
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 William A. Gale; Kenneth W. Church;
1991 2 Structural Ambiguity And Lexical Relations
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 Donald Hindle; Mats Rooth;
1991 3 Aligning Sentences In Parallel Corpora
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 Peter F. Brown; Jennifer C. Lai; Robert L. Mercer;
1991 4 Word-Sense Disambiguation Using Statistical Methods
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 Peter F. Brown; Stephen A. Della Pietra; Vincent J. Della Pietra; Robert L. Mercer;
1991 5 Two Languages Are More Informative Than One
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 Ido Dagan; Alon Itai; Ulrike Schwall;
1991 6 Experiments And Prospects Of Example-Based Machine Translation
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 Eiichiro Sumita; Hitoshi Iida;
1991 7 Discourse Relations And Defeasible Knowledge
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 Alex Lascarides; Nicholas Asher;
1991 8 A Tripartite Plan-Based Model Of Dialogue
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 Lynn Lambert; Sandra Carberry;
1991 9 Collaborating On Referring Expressions
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 Peter A. Heeman;
1991 10 Automatic Acquisition Of Subcategorization Frames From Untagged Text
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 Michael R. Brent;
1991 11 Finite-State Approximation Of Phrase Structure Grammars
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 Fernando C. N. Pereira;
1991 12 Resolving Translation Mismatches With Information Flow
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 Megumi Kameyama; Ryo Ochitani; Stanley Peters;
1991 13 A Three-Level Model For Plan Exploration
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 Lance A. Ramshaw;
1991 14 From N-Grams To Collocations: An Evaluation Of Xtract
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 Frank A. Smadja;
1991 15 Translation By Quasi Logical Form Transfer
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 Hiyan Alshawi; David Carter; Manny Rayner; Bjorn Gamback;
1990 1 Noun Classification From Predicate-Argument Structures
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 Donald Hindle;
1990 2 Mixed Initiative In Dialogue: An Investigation Into Discourse Segmentation
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 Marilyn Walker; Steve Whittaker;
1990 3 Structural Disambiguation With Constraint Propagation
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 Hiroshi Maruyama;
1990 4 Automatically Extracting And Representing Collocations For Language Generation
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 Frank A. Smadja; Kathleen R. McKeown;
1990 5 Parsing The LOB Corpus
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 Carl G. de Marcken;
1990 6 Performatives In A Rationally Based Speech Act Theory
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 Philip R. Cohen; Hector J. Levesque;
1990 7 The Computational Complexity Of Avoiding Conversational Implicatures
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 Ehud Reiter;
1990 8 Polynomial Time Parsing Of Combinatory Categorial Grammars
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 K. Vijay-Shanker; David J. Weir;
1990 9 Empirical Study Of Predictive Powers Of Simple Attachment Schemes For Post-modifier Prepositional Phrases
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 Greg Whittemore; Kathleen Ferrara; Hans Brunner;
1990 10 The Limits Of Unification
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 Robert J. P. Ingria;
1990 11 Solving Thematic Divergences In Machine Translation
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 Bonnie Dorr;
1990 12 Prosody, Syntax And Parsing
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 John Bear; Patti Price;
1990 13 Deterministic Left To Right Parsing Of Tree Adjoining Languages
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 Yves Schabes; K. Vijay-Shanker;
1990 14 Defaults In Unification Grammar
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 Gosse Bouma;
1990 15 Types In Functional Unification Grammars
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 Michael Elhadad;
1989 1 Word Association Norms, Mutual Information, And Lexicography
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 Kenneth Ward Church; Patrick Hanks;
1989 2 Logical Forms In The Core Language Engine
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 Hiyan Alshawi; Jan van Eijck;
1989 3 Cooking Up Referring Expressions
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 Robert Dale;
1989 4 Planning Text For Advisory Dialogues
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 Johanna D. Moore; Cecile L. Paris;
1989 5 The Structure Of Shared Forests In Ambiguous Parsing
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 Sylvie Billot; Bernard Lang;
1989 6 A Semantic-Head-Driven Generation Algorithm For Unification-Based Formalisms
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 Stuart M. Shieber; Gertjan van Noord; Robert C. Moore; Fernando C. N. Pereira;
1989 7 Acquiring Disambiguation Rules From Text
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 Donald Hindle;
1989 8 Evaluating Discourse Processing Algorithms
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 Marilyn A. Walker;
1989 9 Some Chart-Based Techniques For Parsing Ill-Formed Input
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 Chris S. Mellish;
1989 10 Two Constraints On Speech Act Ambiguity
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 Elizabeth A. Hinkelman; James F. Allen;
1989 11 Parsing As Natural Deduction
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 Esther Konig;
1989 12 Unification-Based Semantic Interpretation
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 Robert C. Moore;
1989 13 A Computational Mechanism For Pronominal Reference
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 Robert J. P. Ingria; David Stallard;
1989 14 Dictionaries, Dictionary Grammars And Dictionary Entry Parsing
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 Mary S. Neff; Branimir K. Boguraev;
1989 15 How To Cover A Grammar
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 René Leermakers;
1988 1 Interpretation As Abduction
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 Jerry R. Hobbs; Mark Stickel; Paul Martin; Douglas Edwards;
1988 2 Quantifier Scoping In The SRI Core Language Engine
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 Douglas B. Moran;
1988 3 Planning Coherent Multisentential Text
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 Eduard H. Hovy;
1988 4 Discourse Deixis: Reference To Discourse Segments
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 Bonnie Lynn Webber;
1988 5 Cues And Control In Expert-Client Dialogues
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 Steve Whittaker; Phil Stenton;
1988 6 A Logic For Semantic Interpretation
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 Eugene Charniak; Robert Goldman;
1988 7 An Earley-Type Parsing Algorithm For Tree Adjoining Grammars
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 Yves Schabes; Aravind K. Joshi;
1988 8 Assigning Intonational Features In Synthesized Spoken Directions
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 James Raymond Davis; Julia Hirschberg;
1988 9 Combinatory Categorial Grammars: Generative Power And Relationship To Linear Context-Free Rewriting Systems
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 David J. Weir; Aravind K. Joshi;
1988 10 A Practical Nonmonotonic Theory For Reasoning About Speech Acts
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 Douglas Appelt; Kurt Konolige;
1988 11 The Interpretation Of Relational Nouns
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 Jos de Bruin; Remko Scha;
1988 12 A Computational Theory Of Perspective And Reference In Narrative
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 Janyce M. Wiebe; William J. Rapaport;
1988 13 Unification Of Disjunctive Feature Descriptions
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 Andreas Eisele; Jochen Dorre;
1988 14 Syntactic Approaches To Automatic Book Indexing
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 Gerard Salton;
1988 15 Multi-Level Plurals And Distributivity
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 Remko Scha; David Stallard;
1987 1 A Centering Approach To Pronouns
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 Susan E. Brennan; Marilyn W. Friedman; Carl J. Pollard;
1987 2 Characterizing Structural Descriptions Produced By Various Grammatical Formalisms
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 K. Vijay-Shanker; David J. Weir; Aravind K. Joshi;
1987 3 Temporal Ontology In Natural Language
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 Marc Moens; Mark Steedman;
1987 4 Now Let’s Talk About Now; Identifying Cue Phrases Intonationally
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 Julia Hirschberg; Diane Litman;
1987 5 A Unification Method For Disjunctive Feature Descriptions
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 Robert T. Kasper;
1987 6 The Derivation Of A Grammatically Indexed Lexicon From The Longman Dictionary Of Contemporary English
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 Bran Boguraev; Ted Briscoe; John Carroll; David Carter; Claire Grover;
1987 7 A Lazy Way To Chart-Parse With Categorial Grammars
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 Remo Pareschi; Mark Steedman;
1987 8 The Interpretation Of Tense In Discourse
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 Bonnie Lynn Webber;
1987 9 A Model For Generating Better Explanations
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 Peter van Beek;
1987 10 Nominalizations In PUNDIT
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 Deborah A. Dahl; Martha S. Palmer; Rebecca J. Passonneau;
1987 11 Predictive Combinators: A Method For Efficient Processing Of Combinatory Categorial Grammars
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 Kent Wittenburg;
1987 12 A Logical Version Of Functional Grammar
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 William C. Rounds; Alexis Manaster-Ramer;
1987 13 Situations And Intervals
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 Rebecca J. Passonneau;
1987 14 Functional Unification Grammar Revisited
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 Kathleen R. McKeown; Cecile L. Paris;
1987 15 An Environment For Acquiring Semantic Information
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 Damaris M. Ayuso; Varda Shaked; Ralph M. Weischedel;
1986 1 A Logical Semantics For Feature Structures
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 Robert T. Kasper;
1986 2 The Intonational Structuring Of Discourse
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 Julia Hirschberg; Janet Pierrehumbert;
1986 3 A Model Of Plan Inference That Distinguishes Between The Beliefs Of Actors And Observers
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 Martha E. Pollack;
1986 4 A Property-Sharing Constraint In Centering
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 Megumi Kameyama;
1986 5 Semantically Significant Patterns In Dictionary Definitions
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 Judith Markowitz; Thomas Ahlswede; Martha Evens;
1986 6 Commonsense Metaphysics And Lexical Semantics
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 Jerry R. Hobbs; William Croft; Todd Davies; Douglas Edwards; Kenneth Laws;
1986 7 Some Uses Of Higher-Order Logic In Computational Linguistics
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 Dale A. Miller; Gopalan Nadathur;
1986 8 Recovering Implicit Information
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 MARTHA S. PALMER et. al.
1986 9 The ROMPER System: Responding To Object-Related Misconceptions Using Perspective
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 Kathleen F. McCoy;
1986 10 Semantic Acquisition In TELI: A Transportable, User-Customized Natural Language Processor
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 Bruce W. Ballard; Douglas E. Stumberger;
1986 11 Japanese Prosodic Phrasing And Intonation Synthesis
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 Mary E. Beckman; Janet B. Pierrehumbert;
1986 12 Computational Complexity In Two-Level Morphology
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 G. Edward Barton;
1986 13 A Model Of Revision In Natural Language Generation
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 Marie M. Vaughan; David D. McDonald;
1986 14 Linguistic Coherence: A Plan-Based Alternative
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 Diane J. Litman;
1986 15 Donnellan’s Distinction And A Computational Model Of Reference
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 Amichai Kronfeld;
1985 1 Ontological Promiscuity
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 Jerry R. Hobbs;
1985 2 Extracting Semantic Hierarchies From A Large On-Line Dictionary
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 Martin S. Chodorow; Roy J. Byrd; George E. Heidorn;
1985 3 Using Restriction To Extend Parsing Algorithms For Complex-Feature-Based Formalisms
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 Stuart M. Shieber;
1985 4 Some Computational Properties Of Tree Adjoining Grammars
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 K. Vijay-Shankar; Aravind K. Joshi;
1985 5 Structure-Sharing In Lexical Representation
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 Daniel Flickinger; Carl Pollard; Thomas Wasaw;
1985 6 Speech Acts And Rationality
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 Philip R. Cohen; Hector J. Levesque;
1985 7 A Structure-Sharing Representation For Unification-Based Grammar Formalisms
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 Fernando C. N. Pereira;
1985 8 Dictionaries Of The Mind
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 George A. Miller;
1985 9 Stress Assignment In Letter To Sound Rules For Speech Synthesis
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 Kenneth Church;
1985 10 Parsing Head-Driven Phrase Structure Grammar
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 Derek Proudian; Carl Pollard;
1985 11 Parsing With Discontinuous Constituents
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 Mark Johnson;
1985 12 A Computational Semantics For Natural Language
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 Lewis G. Creary; Carl J. Pollard;
1985 13 Structure Sharing With Binary Trees
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 Lauri Karttunen;
1985 14 TAG’s As A Grammatical Formalism For Generation
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 David D. McDonald; James D. Pustejovsky;
1985 15 Meinongian Semantics For Propositional Semantic Networks
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 William J. Rapaport;
1984 1 A General Computational Model For Word-Form Recognition And Production
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 Kimmo Koskenniemi;
1984 2 Functional Unification Grammar: A Formalism For Machine Translation
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 Martin Kay;
1984 3 Features And Values
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 Lauri Karttunen;
1984 4 The Design Of A Computer Language For Linguistic Information
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 Stuart M. Shieber;
1984 5 A Syntactic Approach To Discourse Semantics
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 Livia Polanyi; Remko Scha;
1984 6 A Computational Theory Of Dispositions
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 Lotfi A. Zadeh;
1984 7 Discourse Structures For Text Generation
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 William C. Mann;
1984 8 The Semantics Of Grammar Formalisms Seen As Computer Languages
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 Fernando C. N. Pereira; Stuart M. Shieber;
1984 9 A Computational Theory Of The Function Of Clue Words In Argument Understanding
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 Robin Cohen;
1984 10 Detecting Patterns In A Lexical Data Base
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 Nicoletta Calzolari;
1984 11 Lexicon-Grammar And The Syntactic Analysis Of French
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 Maurice Gross;
1984 12 NAtural Language Driven Image Generation
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 Giovanni Adorni; Mauro Di Manzo; Fausto Giunchiglia;
1984 13 Preventing False Inferences
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 Aravind Joshi; Bonnie Webber; Ralph M. Weischedel;
1984 14 Conceptual And Linguistic Decisions In Generation
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 Laurence Danlos;
1984 15 A Plan Recognition Model For Clarification Subdialogues
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 Diane J. Litman; James F. Allen;
1983 1 Providing A Unified Account Of Definite Noun Phrases In Discourse
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 Barbara J. Grosz; Aravind K. Joshi; Scott Weinstein;
1983 2 Parsing As Deduction
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 Fernando C. N. Pereira; David H. D. Warren;
1983 3 Design Of A Knowledge-Based Report Generator
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 Karen Kukich;
1983 4 D-Theory: Talking About Talking About Trees
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 Mitchell P. Marcus; Donald Hindle; Margaret M. Fleck;
1983 5 Deterministic Parsing Of Syntactic Non-fluencies
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 Donald Hindle;
1983 6 Menu-Based Natural Language Understanding
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 Harry R. Tennant; Kenneth M. Ross; Richard M. Saenz; Craig W. Thompson; James R. Miller;
1983 7 Sentence Disambiguation By A Shift-Reduce Parsing Technique
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 Stuart M. Shieber;
1983 8 An Improper Treatment Of Quantification In Ordinary English
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 Jerry R. Hobbs;
1983 9 Discourse Pragmatics And Ellipsis Resolution In Task-Oriented Natural Language Interfaces
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 Jaime G. Carbonell;
1983 10 TELEGRAM: A Grammar Formalism For Language Planning
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 Douglas E. Appelt;
1983 11 An Overview Of The Nigel Text Generation Grammar
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 William C. Mann;
1983 12 On The Mathematical Properties Of Linguistic Theories
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 C. Raymond Perrault;
1983 13 Context-Freeness And The Computer Processing Of Human Languages
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 Geoffrey K. Pullum;
1983 14 Factoring Recursion And Dependencies: An Aspect Of Tree Adjoining Grammars (TAG) And A Comparison Of Some Formal Properties Of TAGs, GPSGs, PLGs, And LPGs
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 Aravind K. Joshi;
1983 15 A Foundation For Semantic Interpretation
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 Graeme Hirst;
1982 1 The Text System For Natural Language Generation: An Overview
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 Kathleen R. McKeown;
1982 2 Salience: The Key To The Selection Problem In Natural Language Generation
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 E. Jeffrey Conklin; David D. McDonald;
1982 3 What’s In A Semantic Network?
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 James F. Allen; Alan M. Frisch;
1982 4 Translating English Into Logical Form
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 Stanley J. Rosenschein; Stuart M. Shieber;
1982 5 Experience With An Easily Computed Metric For Ranking Alternative Parses
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 George E. Heidorn;
1982 6 Processing English With A Generalized Phrase Structure Grammar
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 JEAN MARK GAWRON et. al.
1982 7 An Improved Heuristic For Ellipsis Processing
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 Ralph M. Weischedel; Norman K. Sondheimer;
1982 8 Augmenting A Database Knowledge Representation For Natural Language Generation
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 Kathleen F. McCoy;
1982 9 A Knowledge Engineering Approach To Natural Language Understanding
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 Stuart C. Shapiro; Jeannette G. Neal;
1982 10 Planning Natural Language Referring Expressions
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 Douglas E. Appelt;
1982 11 A Society In Transition
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 Donald E. Walker;
1982 12 Natural Language Database Updates
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 Sharon C. Salveter; David Maier;
1982 13 Transportable Natural-Language Interfaces: Problems And Techniques
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 Barbara J. Grosz;
1981 1 Transportable Natural-Language Interfaces To Databases
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 Gary G. Hendrix; William H. Lewis;
1981 2 A Taxonomy For English Nouns And Verbs
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 Robert A. Amsler;
1981 3 Problems In Logical Form
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 Robert C. Moore;
1981 4 Dynamic Strategy Selection In Flexible Parsing
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 Jaime G. Carbonell; Philip J. Hayes;
1981 5 Chart Parsing And Rule Schemata In PSG
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 Henry Thompson;
1981 6 A Practical Comparison Of Parsing Strategies
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 Jonathan Slocum;
1981 7 Interpreting Natural Language Database Updates
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 S. Jerrold Kaplan; Jim Davidson;
1981 8 A Grammar And A Lexicon For A Text-Production System
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 Christian M.I.M. Matthiessen;
1981 9 A Construction-Specific Approach To Focused Interaction In Flexible Parsing
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 Philip J. Hayes;
1981 10 Investigation Of Processing Strategies For The Structural Analysis Of Arguments
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 Robin Cohen;
1981 11 Performance Comparison Of Component Algorithms For The Phonemicization Of Orthography
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 Jared Bernstein; Larry Nessly;
1981 12 Language Production: The Source Of The Dictionary
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 David D. McDonald;
1981 13 What’s Necessary To Hide?: Modeling Action Verbs
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 James F. Allen;
1981 14 Some Computational Aspects Of Situation Semantics
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 Jon Barwise;
1981 15 A Rule-based Conversation Participant
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 Robert E. Frederking;