ACL 2019 Papers with Code/Data
We identified 22 ACL 2019 papers that have code or data published. We list all of them in the following table. Since the extraction step is done by machines, we may miss some papers. Let us know if more papers can be added to this table.
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Title | Authors | Code | |
---|---|---|---|
1 | MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations | Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea, | link |
2 | Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis | Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo, | link |
3 | MOROCO: The Moldavian and Romanian Dialectal Corpus | Andrei Butnaru, Radu Tudor Ionescu, | link |
4 | Just “OneSeC” for Producing Multilingual Sense-Annotated Data | Bianca Scarlini, Tommaso Pasini, Roberto Navigli, | link |
5 | DocRED: A Large-Scale Document-Level Relation Extraction Dataset | Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun, | link |
6 | GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification | Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun, | link |
7 | Global Textual Relation Embedding for Relational Understanding | Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su, | link |
8 | Multi-Channel Graph Neural Network for Entity Alignment | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua, | link |
9 | Exact Hard Monotonic Attention for Character-Level Transduction | Shijie Wu, Ryan Cotterell, | link |
10 | Evaluating Gender Bias in Machine Translation | Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer, | link |
11 | LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories | Ignacio Iacobacci, Roberto Navigli, | link |
12 | E3: Entailment-driven Extracting and Editing for Conversational Machine Reading | Victor Zhong, Luke Zettlemoyer, | link |
13 | XQA: A Cross-lingual Open-domain Question Answering Dataset | Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun, | link |
14 | Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning | Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang, | link |
15 | Zero-Shot Entity Linking by Reading Entity Descriptions | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee, | link |
16 | Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection | Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube, | link |
17 | SParC: Cross-Domain Semantic Parsing in Context | Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev, | link |
18 | SemBleu: A Robust Metric for AMR Parsing Evaluation | Linfeng Song, Daniel Gildea, | link |
19 | Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) | Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria, | link |
20 | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu, | link |
21 | Improving Open Information Extraction via Iterative Rank-Aware Learning | Zhengbao Jiang, Pengcheng Yin, Graham Neubig, | link |
22 | Modeling Semantic Compositionality with Sememe Knowledge | Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun, | link |