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NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation


Dec 06, 2021
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, M. Yee, Jing Zhang, Yue Zhang

* 39 pages, repository at https://github.com/GEM-benchmark/NL-Augmenter 

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Cross-Domain Reasoning via Template Filling


Oct 31, 2021
Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew Fano, Eduard Hovy


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Interpreting Deep Learning Models in Natural Language Processing: A Review


Oct 25, 2021
Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard Hovy, Jiwei Li


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Think about it! Improving defeasible reasoning by first modeling the question scenario


Oct 24, 2021
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard Hovy

* EMNLP 2021 

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Investigating Robustness of Dialog Models to Popular Figurative Language Constructs


Oct 01, 2021
Harsh Jhamtani, Varun Gangal, Eduard Hovy, Taylor Berg-Kirkpatrick

* EMNLP 2021 Short Paper 

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Knowledge-Enhanced Evidence Retrieval for Counterargument Generation


Sep 19, 2021
Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard Hovy

* To appear in Findings of EMNLP 2021 

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Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models


Sep 08, 2021
Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, Varun Gangal


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SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation


Aug 15, 2021
Steven Y. Feng, Jessica Huynh, Chaitanya Narisetty, Eduard Hovy, Varun Gangal

* INLG 2021. Code available at https://github.com/styfeng/SAPPHIRE 

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Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction


Jun 24, 2021
Maria Ryskina, Eduard Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley

* Accepted to SIGMORPHON 2021 

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Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation


Jun 05, 2021
Varun Gangal, Harsh Jhamtani, Eduard Hovy, Taylor Berg-Kirkpatrick

* Findings of ACL 2021 

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More Identifiable yet Equally Performant Transformers for Text Classification


Jun 02, 2021
Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria, Eduard Hovy

* ACL 2021 
* ACL 2021 

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A Survey of Data Augmentation Approaches for NLP


May 29, 2021
Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard Hovy

* Accepted to ACL 2021 Findings. GitHub repo with paper list at https://github.com/styfeng/DataAug4NLP 

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Could you give me a hint? Generating inference graphs for defeasible reasoning


May 29, 2021
Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard Hovy

* Findings of the Association for Computational Linguistics: ACL 2021 

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Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes


May 17, 2021
Yohan Jo, Seojin Bang, Chris Reed, Eduard Hovy

* To Appear in TACL 2021 

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NAREOR: The Narrative Reordering Problem


Apr 14, 2021
Varun Gangal, Steven Y. Feng, Eduard Hovy, Teruko Mitamura


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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer


Apr 12, 2021
Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency

* NAACL 2021, code available at https://github.com/lvyiwei1/StylePTB/ 

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CURIE: An Iterative Querying Approach for Reasoning About Situations


Apr 05, 2021
Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard Hovy

* This paper builds upon EIGEN (arXiv:2010.11764) and proposes a general framework for situational reasoning 

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SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers


Mar 23, 2021
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, Yulia Tsvetkov


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NoiseQA: Challenge Set Evaluation for User-Centric Question Answering


Feb 16, 2021
Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy, Alan W Black

* EACL 2021 

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Measuring and Improving Consistency in Pretrained Language Models


Feb 01, 2021
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard Hovy, Hinrich Schütze, Yoav Goldberg


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Exploring Neural Entity Representations for Semantic Information


Nov 17, 2020
Andrew Runge, Eduard Hovy

* Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2020, p. 204-216 
* 9 pages, 1 figure 

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Incorporating a Local Translation Mechanism into Non-autoregressive Translation


Nov 12, 2020
Xiang Kong, Zhisong Zhang, Eduard Hovy

* EMNLP 2020 

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Event-Related Bias Removal for Real-time Disaster Events


Nov 02, 2020
Evangelia Spiliopoulou, Salvador Medina Maza, Eduard Hovy, Alexander Hauptmann

* To appear in EMNLP Findings 2020 

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A Dataset for Tracking Entities in Open Domain Procedural Text


Oct 31, 2020
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard Hovy

* To appear in EMNLP 2020 

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Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability


Oct 31, 2020
Yuxian Meng, Chun Fan, Zijun Sun, Eduard Hovy, Fei Wu, Jiwei Li


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EIGEN: Event Influence GENeration using Pre-trained Language Models


Oct 22, 2020
Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard Hovy, Shrimai Prabhumoye


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