Adam Poliak

According to our database, Adam Poliak authored at least 25 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating Paraphrastic Robustness in Textual Entailment Models.

Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Discovering changes in birthing narratives during COVID-19.

Daphna Spira, Noreen Mayat, Caitlin N. Dreisbach, Adam Poliak

CoRR, 2022

2021

Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets.

Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Figurative Language in Recognizing Textual Entailment.

Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

On the Existence of Tacit Assumptions in Contextualized Language Models.

Nathaniel Weir, Adam Poliak, Benjamin Van Durme

CoRR, 2020

A survey on Recognizing Textual Entailment as an NLP Evaluation.

Adam Poliak

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Temporal Reasoning in Natural Language Inference.

Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Collecting Verified COVID-19 Question Answer Pairs.

Adam Poliak, Max Fleming, Cash Costello, Kenton W. Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Probing Neural Language Models for Human Tacit Assumptions.

Nathaniel Weir, Adam Poliak, Benjamin Van Durme

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Uncertain Natural Language Inference.

Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Neural variational entity set expansion for automatically populated knowledge graphs.

Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme

Inf. Retr. J., 2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.

Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference.

Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

What do you learn from context? Probing for sentence structure in contextualized word representations.

Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick

Proceedings of the 7th International Conference on Learning Representations, 2019

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference.

Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations.

Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme

CoRR, 2018

Hypothesis Only Baselines in Natural Language Inference.

Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference.

Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation.

Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles.

Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Training Relation Embeddings under Logical Constraints.

Pushpendre Rastogi, Adam Poliak, Benjamin Van Durme

Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

CADET: Computer Assisted Discovery Extraction and Translation.

Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang

Proceedings of the IJCNLP 2017, Tapei, Taiwan, November 27, 2017

Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis.

Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Efficient, Compositional, Order-sensitive n-gram Embeddings.

Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Semantic Proto-Role Labeling.

Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017