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Adam Poliak
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What do you learn from context? probing for sentence structure in contextualized word representations
I Tenney, P Xia, B Chen, A Wang, A Poliak, RT McCoy, N Kim, ...
arXiv preprint arXiv:1905.06316, 2019
8072019
Hypothesis Only Baselines in Natural Language Inference
A Poliak, J Naradowsky, A Haldar, R Rudinger, B Van Durme
Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018
5542018
Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum
JW Ayers, A Poliak, M Dredze, EC Leas, Z Zhu, JB Kelley, DJ Faix, ...
JAMA internal medicine 183 (6), 589-596, 2023
5442023
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
A Poliak, A Haldar, R Rudinger, JE Hu, E Pavlick, AS White, B Van Durme
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1612018
Probing what different NLP tasks teach machines about function word comprehension
N Kim, R Patel, A Poliak, A Wang, P Xia, RT McCoy, I Tenney, A Ross, ...
arXiv preprint arXiv:1904.11544, 2019
1022019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Y Belinkov, A Poliak, SM Shieber, B Van Durme, AM Rush
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
872019
Efficient, Compositional, Order-Sensitive n-gram Embeddings
A Poliak, P Rastogi, MP Martin, B Van Durme
Proceedings of the 15th Conference of the European Chapter of the …, 2017
812017
Internet Searches for Acute Anxiety During the Early Stages of the COVID-19 Pandemic
JW Ayers, EC Leas, DC Johnson, A Poliak, BM Althouse, M Dredze, ...
JAMA Internal Medicine, 2020
722020
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
Y Belinkov, A Poliak, SM Shieber, B Van Durme, A Rush
Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019
692019
Uncertain Natural Language Inference
T Chen, Z Jiang, A Poliak, K Sakaguchi, B Van Durme
arXiv preprint arXiv:1909.03042, 2019
662019
A survey on recognizing textual entailment as an NLP evaluation
A Poliak
arXiv preprint arXiv:2010.03061, 2020
532020
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
A Poliak, Y Belinkov, J Glass, B Van Durme
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
442018
Probing Neural Language Models for Human Tacit Assumptions
N Weir, A Poliak, B Van Durme
42*2020
Temporal reasoning in natural language inference
S Vashishtha, A Poliak, YK Lal, B Van Durme, AS White
Findings of the Association for Computational Linguistics: EMNLP 2020, 4070-4078, 2020
372020
Evaluating artificial intelligence responses to public health questions
JW Ayers, Z Zhu, A Poliak, EC Leas, M Dredze, M Hogarth, DM Smith
JAMA network open 6 (6), e2317517-e2317517, 2023
322023
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis
R Cotterell, A Poliak, B Van Durme, J Eisner
Proceedings of the 15th Conference of the European Chapter of the …, 2017
312017
Semantic Proto-Role Labeling
A Teichert, A Poliak, B Van Durme, MR Gormley
Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017
312017
Figurative language in recognizing textual entailment
T Chakrabarty, D Ghosh, A Poliak, S Muresan
arXiv preprint arXiv:2106.01195, 2021
242021
Suicide-related internet searches during the early stages of the COVID-19 pandemic in the US
JW Ayers, A Poliak, DC Johnson, EC Leas, M Dredze, T Caputi, ...
JAMA network open 4 (1), e2034261-e2034261, 2021
232021
Collecting verified COVID-19 question answer pairs
A Poliak, M Fleming, C Costello, K Murray, M Yarmohammadi, S Pandya, ...
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
182020
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