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2020 – today
- 2024
[i15]Grace Proebsting, Adam Poliak:
Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference. CoRR abs/2410.08996 (2024)- 2023
- [c23]Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. ACL (2) 2023: 880-892 - [i14]Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. CoRR abs/2306.16722 (2023) - 2022
- [i13]Daphna Spira, Noreen Mayat, Caitlin N. Dreisbach, Adam Poliak:
Discovering changes in birthing narratives during COVID-19. CoRR abs/2204.11742 (2022) - 2021
- [c22]Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan:
Figurative Language in Recognizing Textual Entailment. ACL/IJCNLP (Findings) 2021: 3354-3361 - [c21]Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak:
Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. SMM4H@NAACL-HLT 2021: 131-134 - [i12]Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak:
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. CoRR abs/2104.05501 (2021) - [i11]Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan:
Figurative Language in Recognizing Textual Entailment. CoRR abs/2106.01195 (2021) - 2020
- [c20]Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme:
Uncertain Natural Language Inference. ACL 2020: 8772-8779 - [c19]Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
Probing Neural Language Models for Human Tacit Assumptions. CogSci 2020 - [c18]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:
Collecting Verified COVID-19 Question Answer Pairs. NLP4COVID@EMNLP 2020 - [c17]Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White:
Temporal Reasoning in Natural Language Inference. EMNLP (Findings) 2020: 4070-4078 - [c16]Adam Poliak:
A survey on Recognizing Textual Entailment as an NLP Evaluation. Eval4NLP 2020: 92-109 - [i10]Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
On the Existence of Tacit Assumptions in Contextualized Language Models. CoRR abs/2004.04877 (2020) - [i9]Adam Poliak:
A Survey on Recognizing Textual Entailment as an NLP Evaluation. CoRR abs/2010.03061 (2020)
2010 – 2019
- 2019
- [j1]Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme:
Neural variational entity set expansion for automatically populated knowledge graphs. Inf. Retr. J. 22(3-4): 232-255 (2019) - [c15]Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. ACL (1) 2019: 877-891 - [c14]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:
What do you learn from context? Probing for sentence structure in contextualized word representations. ICLR (Poster) 2019 - [c13]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:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. *SEM@NAACL-HLT 2019: 235-249 - [c12]Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. *SEM@NAACL-HLT 2019: 256-262 - [i8]Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR abs/1904.11544 (2019) - [i7]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:
What do you learn from context? Probing for sentence structure in contextualized word representations. CoRR abs/1905.06316 (2019) - [i6]Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. CoRR abs/1907.04380 (2019) - [i5]Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. CoRR abs/1907.04389 (2019) - 2018
- [c11]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP 2018: 67-81 - [c10]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP 2018: 337-340 - [c9]Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme:
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. NAACL-HLT (2) 2018: 513-523 - [c8]Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme:
Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs. ProfS/KG4IR/Data:Search@SIGIR 2018: 49-50 - [c7]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. *SEM@NAACL-HLT 2018: 180-191 - [i4]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR abs/1804.08207 (2018) - [i3]Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme:
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. CoRR abs/1804.09779 (2018) - [i2]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. CoRR abs/1805.01042 (2018) - 2017
- [c6]Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley:
Semantic Proto-Role Labeling. AAAI 2017: 4459-4466 - [c5]Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner:
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. EACL (2) 2017: 175-181 - [c4]Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme:
Efficient, Compositional, Order-sensitive n-gram Embeddings. EACL (2) 2017: 503-508 - [c3]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:
CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) 2017: 5-8 - [c2]Pushpendre Rastogi, Adam Poliak, Benjamin Van Durme:
Training Relation Embeddings under Logical Constraints. KG4IR@SIGIR 2017: 25-31 - [c1]Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme:
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. *SEM 2017: 97-103 - [i1]Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme:
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. CoRR abs/1706.09562 (2017)
Coauthor Index
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last updated on 2024-11-25 22:44 CET by the dblp team
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