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ORCIDBenjamin Van Durme
Benjamin David Van Durme
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- affiliation: Johns Hopkins University, USA
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2020 – today
- 2023
[c175]Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme:
One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS 2023: 2388-2390- [c174]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. EACL 2023: 1850-1866 - [c173]Guanghui Qin, Yukun Feng, Benjamin Van Durme:
The NLP Task Effectiveness of Long-Range Transformers. EACL 2023: 3756-3772 - [i100]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
Can GPT-3 Perform Statutory Reasoning? CoRR abs/2302.06100 (2023) - [i99]Marc Marone, Benjamin Van Durme:
Data Portraits: Recording Foundation Model Training Data. CoRR abs/2303.03919 (2023) - [i98]Elias Stengel-Eskin, Benjamin Van Durme:
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. CoRR abs/2303.16857 (2023) - [i97]Orion Weller, Dawn J. Lawrie, Benjamin Van Durme:
NevIR: Negation in Neural Information Retrieval. CoRR abs/2305.07614 (2023) - [i96]Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme:
Natural Language Decomposition and Interpretation of Complex Utterances. CoRR abs/2305.08677 (2023) - [i95]Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme:
"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data. CoRR abs/2305.13252 (2023) - 2022
- [c172]Anton Belyy, Chieh-Yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme:
Guided K-best Selection for Semantic Parsing Annotation. ACL (demo) 2022: 114-126 - [c171]Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme:
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. ACL (Findings) 2022: 3685-3695 - [c170]Michelle Yuan, Patrick Xia, Chandler May
, Benjamin Van Durme, Jordan L. Boyd-Graber:
Adapting Coreference Resolution Models through Active Learning. ACL (1) 2022: 7533-7549 - [c169]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. EMNLP 2022: 2648-2674 - [c168]Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme:
An Empirical Study on Finding Spans. EMNLP 2022: 3976-3983 - [c167]Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc:
Automatic Document Selection for Efficient Encoder Pretraining. EMNLP 2022: 9522-9530 - [c166]Elias Stengel-Eskin, Benjamin Van Durme:
The Curious Case of Control. EMNLP 2022: 11065-11076 - [c165]Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su:
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. EMNLP 2022: 11473-11487 - [c164]Orion Weller, Marc Marone, Vladimir Braverman, Dawn J. Lawrie, Benjamin Van Durme:
Pretrained Models for Multilingual Federated Learning. NAACL-HLT 2022: 1413-1421 - [c163]Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin:
Visual Commonsense in Pretrained Unimodal and Multimodal Models. NAACL-HLT 2022: 5321-5335 - [c162]Richard Shin, Benjamin Van Durme:
Few-Shot Semantic Parsing with Language Models Trained on Code. NAACL-HLT 2022: 5417-5425 - [c161]Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme:
Ambiguous Images With Human Judgments for Robust Visual Event Classification. NeurIPS 2022 - [c160]Shijie Wu, Benjamin Van Durme, Mark Dredze:
Zero-shot Cross-lingual Transfer is Under-specified Optimization. RepL4NLP@ACL 2022: 236-248 - [c159]Andrew Blair-Stanek, Benjamin Van Durme:
Improved Induction of Narrative Chains via Cross-Document Relations. *SEM@NAACL-HLT 2022: 208-212 - [i94]Guanghui Qin, Yukun Feng, Benjamin Van Durme:
The NLP Task Effectiveness of Long-Range Transformers. CoRR abs/2202.07856 (2022) - [i93]Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme:
One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR abs/2203.04806 (2022) - [i92]Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin:
Visual Commonsense in Pretrained Unimodal and Multimodal Models. CoRR abs/2205.01850 (2022) - [i91]Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme:
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. CoRR abs/2205.08675 (2022) - [i90]Elias Stengel-Eskin, Benjamin Van Durme:
The Curious Case of Control. CoRR abs/2205.12113 (2022) - [i89]Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su:
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. CoRR abs/2205.12228 (2022) - [i88]Nils Holzenberger, Yunmo Chen, Benjamin Van Durme:
Asking the Right Questions in Low Resource Template Extraction. CoRR abs/2205.12643 (2022) - [i87]Orion Weller, Marc Marone, Vladimir Braverman, Dawn J. Lawrie, Benjamin Van Durme:
Pretrained Models for Multilingual Federated Learning. CoRR abs/2206.02291 (2022) - [i86]Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme:
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. CoRR abs/2206.10668 (2022) - [i85]Shijie Wu, Benjamin Van Durme, Mark Dredze:
Zero-shot Cross-lingual Transfer is Under-specified Optimization. CoRR abs/2207.05666 (2022) - [i84]Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, Benjamin Van Durme:
Multilingual Coreference Resolution in Multiparty Dialogue. CoRR abs/2208.01307 (2022) - [i83]Nathaniel Weir, Benjamin Van Durme:
Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. CoRR abs/2209.07662 (2022) - [i82]Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme:
Ambiguous Images With Human Judgments for Robust Visual Event Classification. CoRR abs/2210.03102 (2022) - [i81]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. CoRR abs/2210.06600 (2022) - [i80]Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme:
An Empirical Study on Finding Spans. CoRR abs/2210.06824 (2022) - [i79]Yukun Feng, Patrick Xia, Benjamin Van Durme, João Sedoc:
Automatic Document Selection for Efficient Encoder Pretraining. CoRR abs/2210.10951 (2022) - [i78]Elias Stengel-Eskin, Benjamin Van Durme:
Calibrated Interpretation: Confidence Estimation in Semantic Parsing. CoRR abs/2211.07443 (2022) - [i77]Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme:
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. CoRR abs/2211.07516 (2022) - [i76]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CoRR abs/2212.00259 (2022) - [i75]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? CoRR abs/2212.00281 (2022) - [i74]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Poisoning Attacks in Open-Domain Question Answering. CoRR abs/2212.10002 (2022) - [i73]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? CoRR abs/2212.10019 (2022) - [i72]Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani:
Ontologically Faithful Generation of Non-Player Character Dialogues. CoRR abs/2212.10618 (2022) - 2021
- [j7]Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. Trans. Assoc. Comput. Linguistics 9: 494-509 (2021) - [j6]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics 9: 756-773 (2021) - [c158]Nils Holzenberger, Benjamin Van Durme:
Factoring Statutory Reasoning as Language Understanding Challenges. ACL/IJCNLP (1) 2021: 2742-2758 - [c157]Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. EACL (System Demonstrations) 2021: 149-159 - [c156]Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan:
Complement Lexical Retrieval Model with Semantic Residual Embeddings. ECIR (1) 2021: 146-160 - [c155]Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) 2021: 1950-1967 - [c154]Patrick Xia, Benjamin Van Durme:
Moving on from OntoNotes: Coreference Resolution Model Transfer. EMNLP (1) 2021: 5241-5256 - [c153]Haoran Xu, Benjamin Van Durme, Kenton W. Murray:
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. EMNLP (1) 2021: 6663-6675 - [c152]Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme:
Constrained Language Models Yield Few-Shot Semantic Parsers. EMNLP (1) 2021: 7699-7715 - [c151]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. ICCV 2021: 14890-14899 - [c150]Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme:
InFillmore: Frame-Guided Language Generation with Bidirectional Context. *SEM 2021: 129-142 - [i71]Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. CoRR abs/2101.12175 (2021) - [i70]Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton W. Murray:
Gradual Fine-Tuning for Low-Resource Domain Adaptation. CoRR abs/2103.02205 (2021) - [i69]Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme:
InFillmore: Neural Frame Lexicalization for Narrative Text Infilling. CoRR abs/2103.04941 (2021) - [i68]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. CoRR abs/2104.05696 (2021) - [i67]Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber:
Adaptive Active Learning for Coreference Resolution. CoRR abs/2104.07611 (2021) - [i66]Patrick Xia, Benjamin Van Durme:
Moving on from OntoNotes: Coreference Resolution Model Transfer. CoRR abs/2104.08457 (2021) - [i65]Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme:
Constrained Language Models Yield Few-Shot Semantic Parsers. CoRR abs/2104.08768 (2021) - [i64]Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme:
Schema Curation via Causal Association Rule Mining. CoRR abs/2104.08811 (2021) - [i63]Nils Holzenberger, Benjamin Van Durme:
Factoring Statutory Reasoning as Language Understanding Challenges. CoRR abs/2105.07903 (2021) - [i62]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. CoRR abs/2107.09846 (2021) - [i61]Haoran Xu, Benjamin Van Durme, Kenton W. Murray:
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. CoRR abs/2109.04588 (2021) - [i60]Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR abs/2109.06798 (2021) - [i59]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. CoRR abs/2110.00519 (2021) - [i58]Richard Shin, Benjamin Van Durme:
Few-Shot Semantic Parsing with Language Models Trained On Code. CoRR abs/2112.08696 (2021) - 2020
- [c149]Anton Belyy, Benjamin Van Durme:
Script Induction as Association Rule Mining. NUSE@ACL 2020: 55-62 - [c148]Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, Benjamin Van Durme:
Multi-Sentence Argument Linking. ACL 2020: 8057-8077 - [c147]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Universal Decompositional Semantic Parsing. ACL 2020: 8427-8439 - [c146]Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. ACL 2020: 8465-8475 - [c145]Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme:
Uncertain Natural Language Inference. ACL 2020: 8772-8779 - [c144]Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme:
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. SPNLP@EMNLP 2020: 11-16 - [c143]Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP 2020: 74-83 - [c142]Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
Probing Neural Language Models for Human Tacit Assumptions. CogSci 2020 - [c141]Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White:
Temporal Reasoning in Natural Language Inference. EMNLP (Findings) 2020: 4070-4078 - [c140]Nathaniel Weir, João Sedoc, Benjamin Van Durme:
COD3S: Diverse Generation with Discrete Semantic Signatures. EMNLP (1) 2020: 5199-5211 - [c139]Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber:
Interactive Refinement of Cross-Lingual Word Embeddings. EMNLP (1) 2020: 5984-5996 - [c138]Patrick Xia, Shijie Wu, Benjamin Van Durme:
Which *BERT? A Survey Organizing Contextualized Encoders. EMNLP (1) 2020: 7516-7533 - [c137]Noah Weber, Rachel Rudinger, Benjamin Van Durme:
Causal Inference of Script Knowledge. EMNLP (1) 2020: 7583-7596 - [c136]Patrick Xia, João Sedoc, Benjamin Van Durme:
Incremental Neural Coreference Resolution in Constant Memory. EMNLP (1) 2020: 8617-8624 - [c135]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. IJCAI 2020: 3629-3636 - [c134]Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. NLLP@KDD 2020: 31-38 - [c133]Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC 2020: 5698-5707 - [e1]Aline Villavicencio, Benjamin Van Durme:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, EMNLP 2020, Online, November 19-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-61-3 [contents] - [i57]Noah Weber, Rachel Rudinger, Benjamin Van Durme:
Causal Inference of Script Knowledge. CoRR abs/2004.01174 (2020) - [i56]Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. CoRR abs/2004.02286 (2020) - [i55]Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
On the Existence of Tacit Assumptions in Contextualized Language Models. CoRR abs/2004.04877 (2020) - [i54]Patrick Xia, João Sedoc, Benjamin Van Durme:
Revisiting Memory-Efficient Incremental Coreference Resolution. CoRR abs/2005.00128 (2020) - [i53]Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. CoRR abs/2005.05257 (2020) - [i52]Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. CoRR abs/2007.00320 (2020) - [i51]Patrick Xia, Shijie Wu, Benjamin Van Durme:
Which *BERT? A Survey Organizing Contextualized Encoders. CoRR abs/2010.00854 (2020) - [i50]Nathaniel Weir, João Sedoc, Benjamin Van Durme:
COD3S: Diverse Generation with Discrete Semantic Signatures. CoRR abs/2010.02882 (2020) - [i49]Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme:
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. CoRR abs/2010.15266 (2020)
2010 – 2019
- 2019
- [j5]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) - [j4]Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White:
Decomposing Generalization: Models of Generic, Habitual and Episodic Statements. Trans. Assoc. Comput. Linguistics 7: 501-517 (2019) - [c132]J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. AAAI 2019: 6521-6528 - [c131]Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky:
Predicting the Argumenthood of English Prepositional Phrases. AAAI 2019: 6578-6585 - [c130]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. ACL (1) 2019: 80-94 - [c129]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 - [c128]Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White:
Fine-Grained Temporal Relation Extraction. ACL (1) 2019: 2906-2919 - [c127]Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman:
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) 2019: 4465-4476 - [c126]Zhongyang Li, Tongfei Chen, Benjamin Van Durme:
Learning to Rank for Plausible Plausibility. ACL (1) 2019: 4818-4823 - [c125]Seth Ebner, Felicity Wang, Benjamin Van Durme:
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning. DeepLo@EMNLP-IJCNLP 2019: 40-46 - [c124]J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme:
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. CoNLL 2019: 44-54 - [c123]Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme:
A Discriminative Neural Model for Cross-Lingual Word Alignment. EMNLP/IJCNLP (1) 2019: 910-920 - [c122]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. EMNLP/IJCNLP (1) 2019: 3784-3796 - [c121]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 - [c120]J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme:
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. NAACL-HLT (1) 2019: 839-850 - [c119]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 - [c118]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 - [i48]Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme:
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC 2019 - [i47]J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. CoRR abs/1901.03644 (2019) - [i46]Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White:
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. CoRR abs/1901.11429 (2019) - [i45]Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White:
Fine-Grained Temporal Relation Extraction. CoRR abs/1902.01390 (2019) - [i44]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) - [i43]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) - [i42]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. CoRR abs/1905.08704 (2019) - [i41]Zhongyang Li, Tongfei Chen, Benjamin Van Durme:
Learning to Rank for Plausible Plausibility. CoRR abs/1906.02079 (2019) - [i40]