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Most Influential ACL Papers (2023-04)

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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: 2023-04)

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TABLE 1: Most Influential ACL Papers (2023-04)

Year Rank Paper Author(s)
2022 1 Language-agnostic BERT Sentence Embedding
IF:6   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 2 Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
IF:4   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 3 Cross-Task Generalization Via Natural Language Crowdsourcing Instructions
IF:4   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 4 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 5 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 6 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 7 Internet-Augmented Dialogue Generation
IF:4   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
Highlight: The largest store of continually updating knowledge on our planet can be accessed via internet search. In this work we study giving access to this information to conversational agents.		 Mojtaba Komeili; Kurt Shuster; Jason Weston;
2022 8 TruthfulQA: Measuring How Models Mimic Human Falsehoods
IF:3   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 9 Knowledgeable Prompt-tuning: Incorporating Knowledge Into Prompt Verbalizer for Text Classification
IF:3   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 10 SPoT: Better Frozen Model Adaptation Through Soft Prompt Transfer
IF:3   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
Highlight: Building on the Prompt Tuning approach of Lester et al. (2021), which learns task-specific soft prompts to condition a frozen pre-trained model to perform different tasks, we propose a novel prompt-based transfer learning approach called SPoT: Soft Prompt Transfer.		 Tu Vu; Brian Lester; Noah Constant; Rami Al-Rfou�; Daniel Cer;
2022 11 Beyond Goldfish Memory: Long-Term Open-Domain Conversation
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Highlight: In this work we collect and release a human-human dataset consisting of multiple chat sessions whereby the speaking partners learn about each other’s interests and discuss the things they have learnt from past sessions.		 Jing Xu; Arthur Szlam; Jason Weston;
2022 12 Noisy Channel Language Model Prompting for Few-Shot Text Classification
IF:3   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
Highlight: We introduce a noisy channel approach for language model prompting in few-shot text classification.		 Sewon Min; Mike Lewis; Hannaneh Hajishirzi; Luke Zettlemoyer;
2022 13 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 14 Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
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Highlight: In this study, we present PPTOD, a unified plug-and-play model for task-oriented dialogue.		 YIXUAN SU et. al.
2022 15 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
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Highlight: Their usefulness, however, largely depends on whether current state-of-the-art models can generalize across various tasks in the legal domain. To answer this currently open question, we introduce the Legal General Language Understanding Evaluation (LexGLUE) benchmark, a collection of datasets for evaluating model performance across a diverse set of legal NLU tasks in a standardized way.		 ILIAS CHALKIDIS 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 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 5 ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
IF:4   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 6 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 7 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 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
IF:4   Related Papers   Related Patents   Related Grants   Related Orgs   Related Experts   View
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 CCMatrix: Mining Billions of High-Quality Parallel Sentences on The Web
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Highlight: We show that margin-based bitext mining in a multilingual sentence space can be successfully scaled to operate on monolingual corpora of billions of sentences.		 HOLGER SCHWENK et. al.
2021 11 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 12 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 13 Pre-training Is A Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
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Highlight: In this paper, we combine contextualized representations with neural topic models.		 Federico Bianchi; Silvia Terragni; Dirk Hovy;
2021 14 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.
2021 15 Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
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Highlight: In this work, we aim to build a many-to-many translation system with an emphasis on the quality of non-English language directions.		 Xiao Pan; Mingxuan Wang; Liwei Wu; Lei Li;
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 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 4 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 5 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 6 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 7 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 8 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 9 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 10 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 11 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 12 Don’t Stop Pretraining: Adapt Language Models To Domains And Tasks
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Highlight: We present a study across four domains (biomedical and computer science publications, news, and reviews) and eight classification tasks, showing that a second phase of pretraining in-domain (domain-adaptive pretraining) leads to performance gains, under both high- and low-resource settings.		 SUCHIN GURURANGAN et. al.
2020 13 ERASER: A Benchmark To Evaluate Rationalized NLP Models
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Highlight: We propose the \textbf{E}valuating \textbf{R}ationales \textbf{A}nd \textbf{S}imple \textbf{E}nglish \textbf{R}easoning (\textbf{ERASER} a benchmark to advance research on interpretable models in NLP.		 JAY DEYOUNG et. al.
2020 14 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 15 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;
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 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 4 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 5 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 6 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 7 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 8 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 9 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 10 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 11 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 12 Matching The Blanks: Distributional Similarity For Relation Learning
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Highlight: In this paper, we build on extensions of Harris’ distributional hypothesis to relations, as well as recent advances in learning text representations (specifically, BERT), to build task agnostic relation representations solely from entity-linked text.		 Livio Baldini Soares; Nicholas FitzGerald; Jeffrey Ling; Tom Kwiatkowski,;
2019 13 The Risk Of Racial Bias In Hate Speech Detection
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Highlight: We investigate how annotators’ insensitivity to differences in dialect can lead to racial bias in automatic hate speech detection models, potentially amplifying harm against minority populations.		 Maarten Sap; Dallas Card; Saadia Gabriel; Yejin Choi; Noah A. Smith,;
2019 14 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 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 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 4 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 5 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 6 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 7 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 8 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 9 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 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 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 12 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 13 Semantically Equivalent Adversarial Rules For Debugging NLP Models
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Highlight: To automatically detect this behavior for individual instances, we present semantically equivalent adversaries (SEAs) – semantic-preserving perturbations that induce changes in the model’s predictions.		 Marco Tulio Ribeiro; Sameer Singh; Carlos Guestrin;
2018 14 Simple And Effective Multi-Paragraph Reading Comprehension
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Highlight: We introduce a method of adapting neural paragraph-level question answering models to the case where entire documents are given as input.		 Christopher Clark; Matt Gardner;
2018 15 The Best Of Both Worlds: Combining Recent Advances In Neural Machine Translation
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Highlight: In this paper, we tease apart the new architectures and their accompanying techniques in two ways.		 MIA XU CHEN et. al.
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 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 3 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 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 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 6 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 7 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 8 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 9 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 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 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 12 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;
2017 13 Sequential Matching Network: A New Architecture For Multi-turn Response Selection In Retrieval-Based Chatbots
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Highlight: We propose a sequential matching network (SMN) to address both problems.		 Yu Wu; Wei Wu; Chen Xing; Ming Zhou; Zhoujun Li;
2017 14 Attention-over-Attention Neural Networks For Reading Comprehension
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Highlight: In this paper, we present a simple but novel model called attention-over-attention reader for better solving cloze-style reading comprehension task.		 YIMING CUI et. al.
2017 15 A Convolutional Encoder Model For Neural Machine Translation
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Highlight: We present a faster and simpler architecture based on a succession of convolutional layers.		 Jonas Gehring; Michael Auli; David Grangier; Yann Dauphin;
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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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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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 Modeling Coverage For Neural Machine Translation
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 Zhaopeng Tu; Zhengdong Lu; Yang Liu; Xiaohua Liu; Hang Li;
2016 11 Neural Summarization By Extracting Sentences And Words
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 Jianpeng Cheng; Mirella Lapata;
2016 12 Language To Logical Form With Neural Attention
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 Li Dong; Mirella Lapata;
2016 13 Globally Normalized Transition-Based Neural Networks
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 DANIEL ANDOR et. al.
2016 14 A Thorough Examination Of The CNN/Daily Mail Reading Comprehension Task
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 Danqi Chen; Jason Bolton; Christopher D. Manning;
2016 15 Harnessing Deep Neural Networks With Logic Rules
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 Zhiting Hu; Xuezhe Ma; Zhengzhong Liu; Eduard Hovy; Eric Xing;
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 Neural Responding Machine For Short-Text Conversation
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 Lifeng Shang; Zhengdong Lu; Hang Li;
2015 3 Knowledge Graph Embedding Via Dynamic Mapping Matrix
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 Guoliang Ji; Shizhu He; Liheng Xu; Kang Liu; Jun Zhao;
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 Addressing The Rare Word Problem In Neural Machine Translation
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 Thang Luong; Ilya Sutskever; Quoc Le; Oriol Vinyals; Wojciech Zaremba;
2015 8 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 9 Leveraging Linguistic Structure For Open Domain Information Extraction
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 Gabor Angeli; Melvin Jose Johnson Premkumar; Christopher D. Manning;
2015 10 A Hierarchical Neural Autoencoder For Paragraphs And Documents
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 Jiwei Li; Thang Luong; Dan Jurafsky;
2015 11 Event Extraction Via Dynamic Multi-Pooling Convolutional Neural Networks
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 Yubo Chen; Liheng Xu; Kang Liu; Daojian Zeng; Jun Zhao;
2015 12 Multi-Task Learning For Multiple Language Translation
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 Daxiang Dong; Hua Wu; Wei He; Dianhai Yu; Haifeng Wang;
2015 13 Classifying Relations By Ranking With Convolutional Neural Networks
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 Cícero dos Santos; Bing Xiang; Bowen Zhou;
2015 14 Compositional Semantic Parsing On Semi-Structured Tables
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 Panupong Pasupat; Percy Liang;
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 Semantic Parsing For Single-Relation Question Answering
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 Wen-tau Yih; Xiaodong He; Christopher Meek;
2014 11 Incremental Joint Extraction Of Entity Mentions And Relations
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 Qi Li; Heng Ji;
2014 12 Multilingual Models For Compositional Distributed Semantics
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 Karl Moritz Hermann; Phil Blunsom;
2014 13 Tailoring Continuous Word Representations For Dependency Parsing
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 Mohit Bansal; Kevin Gimpel; Karen Livescu;
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 Improving Lexical Embeddings With Semantic Knowledge
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 Mo Yu; Mark Dredze;
2013 1 Parsing With Compositional Vector Grammars
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 Richard Socher; John Bauer; Christopher D. Manning; Andrew Y. Ng;
2013 2 Scalable Modified Kneser-Ney Language Model Estimation
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 Kenneth Heafield; Ivan Pouzyrevsky; Jonathan H. Clark; Philipp Koehn;
2013 3 Universal Dependency Annotation For Multilingual Parsing
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 RYAN MCDONALD et. al.
2013 4 Joint Event Extraction Via Structured Prediction With Global Features
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 Qi Li; Heng Ji; Liang Huang;
2013 5 Paraphrase-Driven Learning For Open Question Answering
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 Anthony Fader; Luke Zettlemoyer; Oren Etzioni;
2013 6 A Computational Approach To Politeness With Application To Social Factors
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 Cristian Danescu-Niculescu-Mizil; Moritz Sudhof; Dan Jurafsky; Jure Leskovec; Christopher Potts;
2013 7 Linking And Extending An Open Multilingual Wordnet
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 Francis Bond; Ryan Foster;
2013 8 Linguistic Models For Analyzing And Detecting Biased Language
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 Marta Recasens; Cristian Danescu-Niculescu-Mizil; Dan Jurafsky;
2013 9 Smatch: An Evaluation Metric For Semantic Feature Structures
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 Shu Cai; Kevin Knight;
2013 10 Large-scale Semantic Parsing Via Schema Matching And Lexicon Extension
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 Qingqing Cai; Alexander Yates;
2013 11 Question Answering Using Enhanced Lexical Semantic Models
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 Wen-tau Yih; Ming-Wei Chang; Christopher Meek; Andrzej Pastusiak;
2013 12 Exploiting Topic Based Twitter Sentiment For Stock Prediction
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 JIANFENG SI et. al.
2013 13 Learning Latent Personas Of Film Characters
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 David Bamman; Brendan O’Connor; Noah A. Smith;
2013 14 Joint Inference For Fine-grained Opinion Extraction
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 Bishan Yang; Claire Cardie;
2013 15 Universal Conceptual Cognitive Annotation (UCCA)
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 Omri Abend; Ari Rappoport;
2012 1 Improving Word Representations Via Global Context And Multiple Word Prototypes
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 Eric Huang; Richard Socher; Christopher Manning; Andrew Ng;
2012 2 Baselines And Bigrams: Simple, Good Sentiment And Topic Classification
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 Sida Wang; Christopher Manning;
2012 3 Syntactic Stylometry For Deception Detection
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 Song Feng; Ritwik Banerjee; Yejin Choi;
2012 4 Distributional Semantics In Technicolor
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 Elia Bruni; Gemma Boleda; Marco Baroni; Nam-Khanh Tran;
2012 5 Aspect Extraction Through Semi-Supervised Modeling
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 Arjun Mukherjee; Bing Liu;
2012 6 Collective Generation Of Natural Image Descriptions
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 Polina Kuznetsova; Vicente Ordonez; Alexander Berg; Tamara Berg; Yejin Choi;
2012 7 Sentence Simplification By Monolingual Machine Translation
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 Sander Wubben; Antal van den Bosch; Emiel Krahmer;
2012 8 Finding Bursty Topics From Microblogs
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 Qiming Diao; Jing Jiang; Feida Zhu; Ee-Peng Lim;
2012 9 A Nonparametric Bayesian Approach To Acoustic Model Discovery
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 Chia-ying Lee; James Glass;
2012 10 Reducing Wrong Labels In Distant Supervision For Relation Extraction
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 Shingo Takamatsu; Issei Sato; Hiroshi Nakagawa;
2012 11 Cross-Domain Co-Extraction Of Sentiment And Topic Lexicons
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 Fangtao Li; Sinno Jialin Pan; Ou Jin; Qiang Yang; Xiaoyan Zhu;
2012 12 Text-level Discourse Parsing With Rich Linguistic Features
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 Vanessa Wei Feng; Graeme Hirst;
2012 13 A Broad-Coverage Normalization System For Social Media Language
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 Fei Liu; Fuliang Weng; Xiao Jiang;
2012 14 Selective Sharing For Multilingual Dependency Parsing
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 Tahira Naseem; Regina Barzilay; Amir Globerson;
2012 15 Modeling Sentences In The Latent Space
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 Weiwei Guo; Mona Diab;
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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 Myle Ott; Yejin Choi; Claire Cardie; Jeffrey T. Hancock;
2011 3 Part-of-Speech Tagging For Twitter: Annotation, Features, And Experiments
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2011 4 Target-dependent Twitter Sentiment Classification
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 Long Jiang; Mo Yu; Ming Zhou; Xiaohua Liu; Tiejun Zhao;
2011 5 Knowledge-Based Weak Supervision For Information Extraction Of Overlapping Relations
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 Raphael Hoffmann; Congle Zhang; Xiao Ling; Luke Zettlemoyer; Daniel S. Weld;
2011 6 Collecting Highly Parallel Data For Paraphrase Evaluation
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 David Chen; William Dolan;
2011 7 A Class Of Submodular Functions For Document Summarization
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 Hui Lin; Jeff Bilmes;
2011 8 Local And Global Algorithms For Disambiguation To Wikipedia
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 Lev Ratinov; Dan Roth; Doug Downey; Mike Anderson;
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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 Percy Liang; Michael Jordan; Dan Klein;
2011 11 Lexical Normalisation Of Short Text Messages: Makn Sens A #twitter
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 Bo Han; Timothy Baldwin;
2011 12 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 13 Recognizing Named Entities In Tweets
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 Xiaohua Liu; Shaodian Zhang; Furu Wei; Ming Zhou;
2011 14 A New Dataset And Method For Automatically Grading ESOL Texts
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 Helen Yannakoudakis; Ted Briscoe; Ben Medlock;
2011 15 Crowdsourcing Translation: Professional Quality From Non-Professionals
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 Omar F. Zaidan; Chris Callison-Burch;
2010 1 Word Representations: A Simple And General Method For Semi-Supervised Learning
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 Joseph Turian; Lev-Arie Ratinov; Yoshua Bengio;
2010 2 Open Information Extraction Using Wikipedia
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 Fei Wu; Daniel S. Weld;
2010 3 Intelligent Selection Of Language Model Training Data
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 Robert C. Moore; William Lewis;
2010 4 BabelNet: Building A Very Large Multilingual Semantic Network
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 Roberto Navigli; Simone Paolo Ponzetto;
2010 5 Practical Very Large Scale CRFs
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 Thomas Lavergne; Olivier Cappé; François Yvon;
2010 6 A Study Of Information Retrieval Weighting Schemes For Sentiment Analysis
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 Georgios Paltoglou; Mike Thelwall;
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 Supervised Noun Phrase Coreference Research: The First Fifteen Years
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2010 10 Cross-Language Text Classification Using Structural Correspondence Learning
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2010 11 Dynamic Programming For Linear-Time Incremental Parsing
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2010 12 Knowledge-Rich Word Sense Disambiguation Rivaling Supervised Systems
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2010 13 Efficient Third-Order Dependency Parsers
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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 Recognizing Stances In Online Debates
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2009 6 Learning Semantic Correspondences With Less Supervision
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2009 7 Automatic Sense Prediction For Implicit Discourse Relations In Text
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2009 8 Reinforcement Learning For Mapping Instructions To Actions
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2009 9 Non-Projective Dependency Parsing In Expected Linear Time
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2009 10 Bayesian Unsupervised Word Segmentation With Nested Pitman-Yor Language Modeling
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2009 11 Using Syntax To Disambiguate Explicit Discourse Connectives In Text
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2009 12 Phrase Clustering For Discriminative Learning
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2009 13 Stochastic Gradient Descent Training For L1-regularized Log-linear Models With Cumulative Penalty
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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 Forest Reranking: Discriminative Parsing With Non-Local Features
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2008 9 A New String-to-Dependency Machine Translation Algorithm With A Target Dependency Language Model
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2008 10 Integrating Graph-Based And Transition-Based Dependency Parsers
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2008 11 Finding Contradictions In Text
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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 A Phrase-Based Statistical Model For SMS Text Normalization
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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 Using String-Kernels For Learning Semantic Parsers
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2006 14 Machine Learning Of Temporal Relations
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2006 15 Reranking And Self-Training For Parser Adaptation
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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 Exploring Various Knowledge In Relation Extraction
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2005 7 Modeling Local Coherence: An Entity-Based Approach
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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 Identifying Agreement And Disagreement In Conversational Speech: Use Of Bayesian Networks To Model Pragmatic Dependencies
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2004 14 Multi-Criteria-based Active Learning For Named Entity Recognition
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2004 15 Predicting Student Emotions In Computer-Human Tutoring Dialogues
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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 Fast Methods For Kernel-Based Text Analysis
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2003 10 Loosely Tree-Based Alignment For Machine Translation
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2003 11 Exploiting Parallel Texts For Word Sense Disambiguation: An Empirical Study
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2003 12 Evaluation Challenges In Large-Scale Document Summarization
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2003 13 Counter-Training In Discovery Of Semantic Patterns
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2003 14 A Noisy-Channel Approach To Question Answering
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2003 15 Coreference Resolution Using Competition Learning Approach
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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 Discriminative Training And Maximum Entropy Models For Statistical Machine Translation
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2002 4 Learning Surface Text Patterns For A Question Answering System
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2002 5 Improving Machine Learning Approaches To Coreference Resolution
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2002 6 Named Entity Recognition Using An HMM-based Chunk Tagger
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2002 7 New Ranking Algorithms For Parsing And Tagging: Kernels Over Discrete Structures, And The Voted Perceptron
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2002 8 An Unsupervised Approach To Recognizing Discourse Relations
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2002 9 GATE: An Architecture For Development Of Robust HLT Applications
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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 Translating Named Entities Using Monolingual And Bilingual Resources
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2002 14 An Unsupervised Method For Word Sense Tagging Using Parallel Corpora
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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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 Kenji Yamada; Kevin Knight;
2001 2 Scaling To Very Very Large Corpora For Natural Language Disambiguation
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 Michele Banko; Eric Brill;
2001 3 Extracting Paraphrases From A Parallel Corpus
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 Regina Barzilay; Kathleen R. McKeown;
2001 4 Fast Decoding And Optimal Decoding For Machine Translation
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 Ulrich Germann; Michael Jahr; Kevin Knight; Daniel Marcu; Kenji Yamada;
2001 5 A Statistical Model For Domain-Independent Text Segmentation
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 Masao Utiyama; Hitoshi Isahara;
2001 6 Immediate-Head Parsing For Language Models
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 Eugene Charniak;
2001 7 Towards Abstract Categorial Grammars
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 Philippe de Groote;
2001 8 Methods For The Qualitative Evaluation Of Lexical Association Measures
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 Stefan Evert; Brigitte Krenn;
2001 9 Quantitative And Qualitative Evaluation Of Darpa Communicator Spoken Dialogue Systems
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 Marilyn A. Walker; Rebecca Passonneau; Julie E. Boland;
2001 10 Non-Verbal Cues For Discourse Structure
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 Justine Cassell; Yukiko Nakano; Timothy W. Bickmore; Candace L. Sidner; Charles Rich;
2001 11 An Algebra For Semantic Construction In Constraint-based Grammars
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 Ann Copestake; Alex Lascarides; Dan Flickinger;
2001 12 Logic Form Transformation Of WordNet And Its Applicability To Question Answering
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 Dan Moldovan; Vasile Rus;
2001 13 Topological Dependency Trees: A Constraint-Based Account Of Linear Precedence
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 Denys Duchier; Ralph Debusmann;
2001 14 Towards A Unified Approach To Memory- And Statistical-Based Machine Translation
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2001 15 The Role Of Lexico-Semantic Feedback In Open-Domain Textual Question-Answering
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2000 1 Automatic Labeling Of Semantic Roles
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 Daniel Gildea; Daniel Jurafsky;
2000 2 Improved Statistical Alignment Models
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 Franz Josef Och; Hermann Ney;
2000 3 An Improved Error Model For Noisy Channel Spelling Correction
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 Eric Brill; Robert C. Moore;
2000 4 Robust Temporal Processing Of News
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 Inderjeet Mani; George Wilson;
2000 5 Spoken Dialogue Management Using Probabilistic Reasoning
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 Nicholas Roy; Joelle Pineau; Sebastian Thrun;
2000 6 Headline Generation Based On Statistical Translation
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 Michele Banko; Vibhu O. Mittal; Michael J. Witbrock;
2000 7 Extracting Causal Knowledge From A Medical Database Using Graphical Patterns
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 Christopher S. G. Khoo; Syin Chan; Yun Niu;
2000 8 The Structure And Performance Of An Open-Domain Question Answering System
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2000 9 Statistical Parsing With An Automatically-Extracted Tree Adjoining Grammar
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 David Chiang;
2000 10 Minimally Supervised Morphological Analysis By Multimodal Alignment
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 David Yarowsky; Richard Wicentowski;
2000 11 Independence And Commitment: Assumptions For Rapid Training And Execution Of Rule-based POS Taggers
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 Mark Hepple;
2000 12 Coreference For NLP Applications
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 Thomas S. Morton;
2000 13 Query-Relevant Summarization Using FAQs
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 Adam Berger; Vibhu O. Mittal;
2000 14 Rule Writing Or Annotation: Cost-efficient Resource Usage For Base Noun Phrase Chunking
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 Grace Ngai; David Yarowsky;
2000 15 An Unsupervised Approach To Prepositional Phrase Attachment Using Contextually Similar Words
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 Patrick Pantel; Dekang Lin;
1999 1 Untangling Text Data Mining
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 Marti A. Hearst;
1999 2 Measures Of Distributional Similarity
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 Lillian Lee;
1999 3 Automatic Identification Of Word Translations From Unrelated English And German Corpora
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 Reinhard Rapp;
1999 4 Finding Parts In Very Large Corpora
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 Matthew Berland; Eugene Charniak;
1999 5 Development And Use Of A Gold-Standard Data Set For Subjectivity Classifications
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 Janyce M. Wiebe; Rebecca F. Bruce; Thomas P. O’Hara;
1999 6 Information Fusion In The Context Of Multi-Document Summarization
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 Regina Barzilay; Kathleen R. McKeown; Michael Elhadad;
1999 7 Automatic Construction Of A Hypernym-labeled Noun Hierarchy From Text
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 Sharon A. Caraballo;
1999 8 The CommandTalk Spoken Dialogue System
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 Amanda Stent; John Dowding; Jean Mark Gawron; Elizabeth Owen Bratt; Robert Moore;
1999 9 Mining The Web For Bilingual Text
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 Philip Resnik;
1999 10 A Statistical Parser For Czech
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 Michael Collins; Jan Hajic; Lance Ramshaw; Christoph Tillmann;
1999 11 Deep Read: A Reading Comprehension System
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 Lynette Hirschman; Marc Light; Eric Breck; John D. Burger;
1999 12 Automatic Identification Of Non-compositional Phrases
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 Dekang Lin;
1999 13 Inducing A Semantically Annotated Lexicon Via EM-Based Clustering
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 Mats Rooth; Stefan Riezler; Detlef Prescher; Glenn Carroll; Franz Beil;
1999 14 Efficient Parsing For Bilexical Context-Free Grammars And Head Automaton Grammars
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 Jason Eisner; Giorgio Satta;
1999 15 A Method For Word Sense Disambiguation Of Unrestricted Text
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 Rada Mihalcea; Dan I. Moldovan;
1998 1 The Berkeley FrameNet Project
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 Collin F. Baker; Charles J. Fillmore; John B. Lowe;
1998 2 Automatic Retrieval And Clustering Of Similar Words
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 Dekang Lin;
1998 3 Entity-Based Cross-Document Coreferencing Using The Vector Space Model
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 Amit Bagga; Breck Baldwin;
1998 4 Generation That Exploits Corpus-Based Statistical Knowledge
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 Irene Langkilde; Kevin Knight;
1998 5 An IR Approach For Translating New Words From Nonparallel, Comparable Texts
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 Pascale Fung; Lo Yuen Yee;
1998 6 Robust Pronoun Resolution With Limited Knowledge
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 Ruslan Mitkov;
1998 7 MindNet: Acquiring And Structuring Semantic Information From Text
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 Stephen D. Richardson; William B. Dolan; Lucy Vanderwende;
1998 8 Exploiting Syntactic Structure For Language Modeling
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 Ciprian Chelba; Frederick Jelinek;
1998 9 Classifier Combination For Improved Lexical Disambiguation
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 Eric Brill; Jun Wu;
1998 10 Unification-based Multimodal Parsing
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 Michael Johnston;
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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 Jan Hajič; Barbora Hladká;
1998 13 Dialogue Act Tagging With Transformation-Based Learning
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 Ken Samuel; Sandra Carberry; K. Vijay-Shanker;
1998 14 Learning Optimal Dialogue Strategies: A Case Study Of A Spoken Dialogue Agent For Email
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 Marilyn A. Walker;
1998 15 Improving Data Driven Wordclass Tagging By System Combination
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 Hans van Halteren; Jakub Zavrel; Walter Daelemans;
1997 1 Predicting The Semantic Orientation Of Adjectives
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 Vasileios Hatzivassiloglou; Kathleen R. McKeown;
1997 2 Three Generative, Lexicalised Models For Statistical Parsing
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 Michael Collins;
1997 3 PARADISE: A Framework For Evaluating Spoken Dialogue Agents
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 Marilyn A. Walker; Diane J. Litman; Candace A. Kamm; Alicia Abella;
1997 4 Machine Transliteration
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 Kevin Knight; Jonathan Graehl;
1997 5 Automatic Detection Of Text Genre
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 Brett Kessler; Geoffrey Nunberg; Hinrich Schutze;
1997 6 Using Syntactic Dependency As Local Context To Resolve Word Sense Ambiguity
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 Dekang Lin;
1997 7 Unification-based Multimodal Integration
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1997 8 Similarity-Based Methods For Word Sense Disambiguation
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 Ido Dagan; Lillian Lee; Fernando Pereira;
1997 9 Decoding Algorithm In Statistical Machine Translation
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 Ye-Yi Wang; Alex Waibel;
1997 10 A Word-to-Word Model Of Translational Equivalence
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 I. Dan Melamed;
1997 11 The Rhetorical Parsing Of Unrestricted Natural Language Texts
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 Daniel Marcu;
1997 12 Sentence Planning As Description Using Tree Adjoining Grammar
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 Matthew Stone; Christine Doran;
1997 13 Comparing A Linguistic And A Stochastic Tagger
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 Christer Samuelsson; Atro Voutilainen;
1997 14 Choosing The Word Most Typical In Context Using A Lexical Co-occurrence Network
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 Philip Edmonds;
1997 15 Homonymy And Polysemy In Information Retrieval
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 Robert Krovetz;
1996 1 An Empirical Study Of Smoothing Techniques For Language Modeling
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 Stanley F. Chen; Joshua Goodman;
1996 2 A New Statistical Parser Based On Bigram Lexical Dependencies
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 Michael John Collins;
1996 3 Integrating Multiple Knowledge Sources To Disambiguate Word Sense: An Exemplar-Based Approach
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 Hwee Tou Ng; Hian Beng Lee;
1996 4 A Robust System For Natural Spoken Dialogue
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 James F. Allen; Bradford W. Miller; Eric K. Ringger; Teresa Sikorski;
1996 5 A Polynomial-Time Algorithm For Statistical Machine Translation
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 Dekai Wu;
1996 6 A Prosodic Analysis Of Discourse Segments In Direction-Giving Monologues
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 Julia Hirschberg; Christine H. Nakatani;
1996 7 Parsing Algorithms And Metrics
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 Joshua Goodman;
1996 8 Combining Trigram-Based And Feature-Based Methods For Context-Sensitive Spelling Correction
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 Andrew Golding; Yves Schabes;
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 Chart Generation
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 Martin Kay;
1996 12 Functional Centering
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 Michael Strube; Udo Hahn;
1996 13 Efficient Normal-Form Parsing For Combinatory Categorial Grammar
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 Jason Eisner;
1996 14 Minimizing Manual Annotation Cost In Supervised Training From Corpora
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 Sean P. Engelson; Ido Dagan;
1996 15 Directed Replacement
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 Lauri Karttunen;
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 A Pattern Matching Method For Finding Noun And Proper Noun Translations From Noisy Parallel Corpora
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 Pascale Fung;
1995 8 D-Tree Grammars
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 Owen Rambow; K. Vijay-Shanker; David Weir;
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 An Algorithm For Simultaneously Bracketing Parallel Texts By Aligning Words
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 Dekai Wu;
1995 14 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 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 DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application To Accent Restoration In Spanish And French
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 David Yarowsky;
1994 3 A Stochastic Finite-State Word-Segmentation Algorithm For Chinese
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 Richard Sproat; Chilin Shih; William Gale; Nancy Chang;
1994 4 Discourse Obligations In Dialogue Processing
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 David R. Traum; James F. Allen;
1994 5 Word-Sense Disambiguation Using Decomposable Models
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 Rebecca Bruce; Janyce Wiebe;
1994 6 Aligning A Parallel English-Chinese Corpus Statistically With Lexical Criteria
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 Dekai Wu;
1994 8 Similarity-Based Estimation Of Word Cooccurrence Probabilities
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 Ido Dagan; Fernando Pereira; Lillian Lee;
1994 9 An Automatic Method Of Finding Topic Boundaries
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 Jeffrey C. Reynar;
1994 10 Hidden Understanding Models Of Natural Language
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 Scott Miller; Robert Bobrow; Robert Ingria; Richard Schwartz;
1994 11 Speech Dialogue With Facial Displays: Multimodal Human-Computer Conversation
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 Katashi Nagao; Akikazu Takeuchi;
1994 12 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 13 Part-of-Speech Tagging Using A Variable Memory Markov Model
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 Hinrich Schuetze; Yoram Singer;
1994 14 Precise N-Gram Probabilities From Stochastic Context-Free Grammars
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 Andreas Stolcke; Jonathan Segal;
1994 15 Relating Complexity To Practical Performance In Parsing With Wide-Coverage Unification Grammars
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 John Carroll;
1993 1 Distributional Clustering Of English Words
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 Fernando Pereira; Naftali Tishby; Lillian Lee;
1993 2 GEMINI: A Natural Language System For Spoken-Language Understanding
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1993 3 Transfers Of Meaning
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 Geoffrey Nunberg;
1993 4 Aligning Sentences In Bilingual Corpora Using Lexical Information
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 Stanley F. Chen;
1993 5 Part-of-Speech Induction From Scratch
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 Hinrich Schütze;
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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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 Principle-Based Parsing Without Overgeneration
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 Dekang Lin;
1993 12 Intention-Based Segmentation: Human Reliability And Correlation With Linguistic Cues
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 Rebecca J. Passonneau; Diane J. Litman;
1993 13 Automatic Grammar Induction And Parsing Free Text: A Transformation-Based Approach
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 Eric Brill;
1993 14 Contextual Word Similarity And Estimation From Sparse Data
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 Ido Dagan; Shaul Marcus; Shaul Markovitch;
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 A Simple But Useful Approach To Conjunct Identification
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 Rajeev Agarwal; Lois Boggess;
1992 7 Efficiency, Robustness And Accuracy In Picky Chart Parsing
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 David M. Magerman; Carl Weir;
1992 8 A Class-Based Approach To Lexical Discovery
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 Philip Resnik;
1992 9 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 10 SEXTANT: Exploring Unexplored Contexts For Semantic Extraction From Syntactic Analysis
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 Gregory Grefenstette;
1992 11 Modeling Negotiation Subdialogues
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 Lynn Lambert; Sandra Carberry;
1992 12 Information Retrieval Using Robust Natural Language Processing
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 Tomek Strzalkowski; Barbara Vauthey;
1992 13 The Representation Of Multimodal User Interface Dialogues Using Discourse Pegs
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 Susann Luperfoy;
1992 14 Linear Context-Free Rewriting Systems And Deterministic Tree-Walking Transducers
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 David J. Weir;
1992 15 GPSM: A Generalized Probabilistic Semantic Model For Ambiguity Resolution
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 Jing-Shin Chang; Yih-Fen Luo; Keh-Yih Su;
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 Translation By Quasi Logical Form Transfer
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 Hiyan Alshawi; David Carter; Manny Rayner; Bjorn Gamback;
1991 15 Quasi-Destructive Graph Unification
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 Hideto Tomabechi;
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 Polynomial Time Parsing Of Combinatory Categorial Grammars
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 K. Vijay-Shanker; David J. Weir;
1990 8 The Limits Of Unification
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 Robert J. P. Ingria;
1990 9 Solving Thematic Divergences In Machine Translation
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 Bonnie Dorr;
1990 10 The Computational Complexity Of Avoiding Conversational Implicatures
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 Ehud Reiter;
1990 11 Deterministic Left To Right Parsing Of Tree Adjoining Languages
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 Yves Schabes; K. Vijay-Shanker;
1990 12 Prosody, Syntax And Parsing
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 John Bear; Patti Price;
1990 13 Defaults In Unification Grammar
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 Gosse Bouma;
1990 14 Types In Functional Unification Grammars
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 Michael Elhadad;
1990 15 Acquiring Core Meanings Of Words, Represented As Jackendoff-Style Conceptual Structures, From Correlated Streams Of Linguistic And Non-Linguistic Input
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 Jeffrey Mark Siskind;
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 Acquiring Disambiguation Rules From Text
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 Donald Hindle;
1989 7 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 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 Automatic Acquisition Of The Lexical Semantics Of Verbs From Sentence Frames
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 Mort Webster; Mitch Marcus;
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 Cues And Control In Expert-Client Dialogues
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 Steve Whittaker; Phil Stenton;
1988 5 Discourse Deixis: Reference To Discourse Segments
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 Bonnie Lynn Webber;
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 Computational Theory Of Perspective And Reference In Narrative
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 Janyce M. Wiebe; William J. Rapaport;
1988 11 A Practical Nonmonotonic Theory For Reasoning About Speech Acts
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 Douglas Appelt; Kurt Konolige;
1988 12 Unification Of Disjunctive Feature Descriptions
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 Andreas Eisele; Jochen Dorre;
1988 13 The Interpretation Of Relational Nouns
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 Jos de Bruin; Remko Scha;
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 A Model For Generating Better Explanations
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 Peter van Beek;
1987 9 The Interpretation Of Tense In Discourse
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 Bonnie Lynn Webber;
1987 10 Predictive Combinators: A Method For Efficient Processing Of Combinatory Categorial Grammars
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 Kent Wittenburg;
1987 11 Nominalizations In PUNDIT
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 Deborah A. Dahl; Martha S. Palmer; Rebecca J. Passonneau;
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 An Environment For Acquiring Semantic Information
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 Damaris M. Ayuso; Varda Shaked; Ralph M. Weischedel;
1987 15 Functional Unification Grammar Revisited
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 Kathleen R. McKeown; Cecile L. Paris;
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 Donnellan’s Distinction And A Computational Model Of Reference
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 Amichai Kronfeld;
1986 15 Linguistic Coherence: A Plan-Based Alternative
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 Diane J. Litman;
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 Structure-Sharing In Lexical Representation
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 Daniel Flickinger; Carl Pollard; Thomas Wasaw;
1985 5 Speech Acts And Rationality
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 Philip R. Cohen; Hector J. Levesque;
1985 6 Some Computational Properties Of Tree Adjoining Grammars
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 K. Vijay-Shankar; Aravind K. Joshi;
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 Parsing Head-Driven Phrase Structure Grammar
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 Derek Proudian; Carl Pollard;
1985 10 Stress Assignment In Letter To Sound Rules For Speech Synthesis
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 Kenneth Church;
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 The Design Of A Computer Language For Linguistic Information
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 Stuart M. Shieber;
1984 4 Features And Values
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 Lauri Karttunen;
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 The Semantics Of Grammar Formalisms Seen As Computer Languages
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 Fernando C. N. Pereira; Stuart M. Shieber;
1984 8 A Computational Theory Of The Function Of Clue Words In Argument Understanding
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 Robin Cohen;
1984 9 Discourse Structures For Text Generation
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 William C. Mann;
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 Sentence Disambiguation By A Shift-Reduce Parsing Technique
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 Stuart M. Shieber;
1983 7 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 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 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 14 Context-Freeness And The Computer Processing Of Human Languages
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 Geoffrey K. Pullum;
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 Processing English With A Generalized Phrase Structure Grammar
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 JEAN MARK GAWRON et. al.
1982 6 Experience With An Easily Computed Metric For Ranking Alternative Parses
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 George E. Heidorn;
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 A Society In Transition
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 Donald E. Walker;
1982 11 Planning Natural Language Referring Expressions
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 Douglas E. Appelt;
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 Computational Complexity And Lexical Functional Grammar
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 Robert C. Berwick;
1981 7 A Practical Comparison Of Parsing Strategies
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 Jonathan Slocum;
1981 8 Interpreting Natural Language Database Updates
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 S. Jerrold Kaplan; Jim Davidson;
1981 9 A Grammar And A Lexicon For A Text-Production System
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 Christian M.I.M. Matthiessen;
1981 10 A Construction-Specific Approach To Focused Interaction In Flexible Parsing
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 Philip J. Hayes;
1981 11 Investigation Of Processing Strategies For The Structural Analysis Of Arguments
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 Robin Cohen;
1981 12 Performance Comparison Of Component Algorithms For The Phonemicization Of Orthography
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 Jared Bernstein; Larry Nessly;
1981 13 Language Production: The Source Of The Dictionary
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 David D. McDonald;
1981 14 What’s Necessary To Hide?: Modeling Action Verbs
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 James F. Allen;
1981 15 A Rule-based Conversation Participant
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 Robert E. Frederking;