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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
- 2025
[c220]Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi:
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. AAAI 2025: 24266-24275- [c219]Jiefu Ou, Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi:
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. AAAI 2025: 24993-25001 - [c218]Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Lee Boyd-Graber:
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly. COLING 2025: 5870-5889 - [c217]Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Samuel Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, Dawn J. Lawrie:
mFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval. ECIR (2) 2025: 295-310 - [i166]Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie:
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. CoRR abs/2501.00274 (2025) - [i165]Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Samuel Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, Dawn J. Lawrie:
mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval. CoRR abs/2501.19264 (2025) - [i164]Andrew Blair-Stanek, Benjamin Van Durme:
LLMs Provide Unstable Answers to Legal Questions. CoRR abs/2502.05196 (2025) - [i163]Harsh Jhamtani, Jacob Andreas, Benjamin Van Durme:
LM Agents for Coordinating Multi-User Information Gathering. CoRR abs/2502.12328 (2025) - [i162]William Jurayj, Jeffrey Cheng, Benjamin Van Durme:
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering. CoRR abs/2502.13962 (2025) - [i161]Orion Weller, Kathryn Ricci, Eugene Yang, Andrew Yates, Dawn J. Lawrie, Benjamin Van Durme:
Rank1: Test-Time Compute for Reranking in Information Retrieval. CoRR abs/2502.18418 (2025) - [i160]Tongfei Chen, Ankita Sharma, Adam Pauls, Benjamin Van Durme:
Hierarchical corpus encoder: Fusing generative retrieval and dense indices. CoRR abs/2502.18877 (2025) - [i159]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity. CoRR abs/2502.19110 (2025) - [i158]Vivek Chari, Guanghui Qin, Benjamin Van Durme:
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs. CoRR abs/2503.10337 (2025) - [i157]Nick McKenna, Xinnuo Xu, Jack Williams, Nick Wilson, Benjamin Van Durme, Christian Pölitz:
Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages. CoRR abs/2503.18760 (2025) - [i156]Arun V. Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, Rama Chellappa:
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. CoRR abs/2503.19009 (2025) - [i155]Jiefu Ou, William Gantt Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng, William Jurayj, Miriam Wanner, Shaobo Liang, Candice Morgan, Seunghoon Han, Weiqi Wang, Chandler May, Hannah Recknor, Daniel Khashabi, Benjamin Van Durme:
CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? CoRR abs/2503.21717 (2025) - 2024
- [j10]Zhengping Jiang, Anqi Liu, Benjamin Van Durme:
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations. Trans. Assoc. Comput. Linguistics 12: 120-136 (2024) - [c216]Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu:
RORA: Robust Free-Text Rationale Evaluation. ACL (1) 2024: 1070-1087 - [c215]Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie:
Do Androids Know They're Only Dreaming of Electric Sheep? ACL (Findings) 2024: 4401-4420 - [c214]Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme:
Dodo: Dynamic Contextual Compression for Decoder-only LMs. ACL (1) 2024: 9961-9975 - [c213]Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su:
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. ACL (1) 2024: 10583-10604 - [c212]Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie:
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. ACL (1) 2024: 13806-13834 - [c211]William Fleshman, Benjamin Van Durme:
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. CAMLIS 2024: 210-223 - [c210]Kate Sanders, Benjamin Van Durme:
A Survey of Video Datasets for Grounded Event Understanding. CVPR Workshops 2024: 7314-7327 - [c209]William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi:
MultiMUC: Multilingual Template Filling on MUC-4. EACL (1) 2024: 349-368 - [c208]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Disinformation Attacks in Open-Domain Question Answering. EACL (2) 2024: 402-417 - [c207]Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini:
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. EACL (Findings) 2024: 1987-2003 - [c206]Orion Weller, Dawn J. Lawrie, Benjamin Van Durme:
NevIR: Negation in Neural Information Retrieval. EACL (1) 2024: 2274-2287 - [c205]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. EACL (1) 2024: 2288-2301 - [c204]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. EACL (1) 2024: 2378-2390 - [c203]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. EMNLP 2024: 7156-7168 - [c202]Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas:
Language-to-Code Translation with a Single Labeled Example. EMNLP 2024: 8101-8112 - [c201]Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani:
Ontologically Faithful Generation of Non-Player Character Dialogues. EMNLP 2024: 9212-9242 - [c200]Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme:
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. EMNLP 2024: 9458-9482 - [c199]Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, Benjamin Van Durme:
Grounding Partially-Defined Events in Multimodal Data. EMNLP (Findings) 2024: 15905-15927 - [c198]Kate Sanders, Nathaniel Weir, Benjamin Van Durme:
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. EMNLP 2024: 19009-19028 - [c197]Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme:
Zero and Few-shot Semantic Parsing with Ambiguous Inputs. ICLR 2024 - [c196]Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim:
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. ICML 2024 - [c195]Nathaniel Weir, Peter Clark, Benjamin Van Durme:
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. IJCAI 2024: 3602-3612 - [c194]Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme:
Natural Language Decomposition and Interpretation of Complex Utterances. IJCAI 2024: 6306-6314 - [c193]Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen:
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. NAACL-HLT (Findings) 2024: 490-502 - [c192]Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani:
Interpreting User Requests in the Context of Natural Language Standing Instructions. NAACL-HLT (Findings) 2024: 4043-4060 - [c191]Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov:
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. NAACL-HLT 2024: 4067-4082 - [c190]Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White:
FAMuS: Frames Across Multiple Sources. NAACL-HLT 2024: 8250-8273 - [c189]Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme:
A Closer Look at Claim Decomposition. *SEM@NAACL 2024: 153-175 - [i154]Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger:
Reframing Tax Law Entailment as Analogical Reasoning. CoRR abs/2401.06715 (2024) - [i153]Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim
:
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. CoRR abs/2401.08417 (2024) - [i152]William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi:
MultiMUC: Multilingual Template Filling on MUC-4. CoRR abs/2401.16209 (2024) - [i151]Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn:
Streaming Sequence Transduction through Dynamic Compression. CoRR abs/2402.01172 (2024) - [i150]Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme:
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. CoRR abs/2402.14798 (2024) - [i149]Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu:
RORA: Robust Free-Text Rationale Evaluation. CoRR abs/2402.18678 (2024) - [i148]Kate Sanders, Nathaniel Weir, Benjamin Van Durme:
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. CoRR abs/2402.19467 (2024) - [i147]Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su:
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. CoRR abs/2403.04746 (2024) - [i146]Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, Benjamin Van Durme:
A Closer Look at Claim Decomposition. CoRR abs/2403.11903 (2024) - [i145]Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi:
Tur[k]ingBench: A Challenge Benchmark for Web Agents. CoRR abs/2403.11905 (2024) - [i144]Jeffrey Cheng, Marc Marone, Orion Weller, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme:
Dated Data: Tracing Knowledge Cutoffs in Large Language Models. CoRR abs/2403.12958 (2024) - [i143]Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini:
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR abs/2403.15246 (2024) - [i142]Jingyu Zhang, Marc Marone, Tianjian Li, Benjamin Van Durme, Daniel Khashabi:
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data. CoRR abs/2404.03862 (2024) - [i141]Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi:
SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. CoRR abs/2404.04298 (2024) - [i140]William Fleshman, Aleem Khan, Marc Marone, Benjamin Van Durme:
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. CoRR abs/2404.08417 (2024) - [i139]William Fleshman, Benjamin Van Durme:
RE-Adapt: Reverse Engineered Adaptation of Large Language Models. CoRR abs/2405.15007 (2024) - [i138]Kate Sanders, Benjamin Van Durme:
A Survey of Video Datasets for Grounded Event Understanding. CoRR abs/2406.09646 (2024) - [i137]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. CoRR abs/2406.14739 (2024) - [i136]William Fleshman, Benjamin Van Durme:
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. CoRR abs/2406.14764 (2024) - [i135]Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. CoRR abs/2406.17186 (2024) - [i134]Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme:
Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. CoRR abs/2407.03572 (2024) - [i133]Jiefu Ou, Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi:
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. CoRR abs/2407.07778 (2024) - [i132]Xu Han, Felix Yu, João Sedoc, Benjamin Van Durme:
Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations. CoRR abs/2408.09765 (2024) - [i131]Abe Bohan Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations. CoRR abs/2409.09947 (2024) - [i130]Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel:
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. CoRR abs/2409.11136 (2024) - [i129]Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu Zhang, Chuyu Liu, Benjamin Van Durme, Daniel Khashabi:
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. CoRR abs/2410.01044 (2024) - [i128]Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, Benjamin Van Durme:
Grounding Partially-Defined Events in Multimodal Data. CoRR abs/2410.05267 (2024) - [i127]Jingyu Zhang, Ahmed Elgohary, Ahmed Magooda, Daniel Khashabi, Benjamin Van Durme:
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements. CoRR abs/2410.08968 (2024) - [i126]Reno Kriz, Kate Sanders, David Etter, Kenton Murray, Cameron Carpenter, Kelly Van Ochten, Hannah Recknor, Jimena Guallar-Blasco, Alexander Martin, Ronald Colaianni, Nolan King, Eugene Yang, Benjamin Van Durme:
MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval. CoRR abs/2410.11619 (2024) - [i125]Millicent Li, Tongfei Chen, Benjamin Van Durme, Patrick Xia:
Multi-Field Adaptive Retrieval. CoRR abs/2410.20056 (2024) - [i124]Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng:
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. CoRR abs/2411.05877 (2024) - [i123]Jeffrey Cheng, Benjamin Van Durme:
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations. CoRR abs/2412.13171 (2024) - [i122]Miriam Wanner, Benjamin Van Durme, Mark Dredze:
DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation. CoRR abs/2412.13175 (2024) - [i121]Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Jansen, Benjamin Van Durme, Peter Clark:
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question Answering. CoRR abs/2412.17701 (2024) - 2023
- [j9]Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, Benjamin Van Durme:
Multilingual Coreference Resolution in Multiparty Dialogue. Trans. Assoc. Comput. Linguistics 11: 922-940 (2023) - [j8]Elias Stengel-Eskin, Benjamin Van Durme:
Calibrated Interpretation: Confidence Estimation in Semantic Parsing. Trans. Assoc. Comput. Linguistics 11: 1213-1231 (2023) - [c188]Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. ACL (2) 2023: 880-892 - [c187]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. ACL (1) 2023: 10220-10237 - [c186]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 - [c185]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. CVPR 2023: 14963-14973 - [c184]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 - [c183]Guanghui Qin, Yukun Feng, Benjamin Van Durme:
The NLP Task Effectiveness of Long-Range Transformers. EACL 2023: 3756-3772 - [c182]Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray:
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. EMNLP 2023: 1575-1587 - [c181]Elias Stengel-Eskin, Benjamin Van Durme:
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. EMNLP 2023: 2621-2629 - [c180]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? EMNLP 2023: 3599-3606 - [c179]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. EMNLP (Findings) 2023: 4026-4043 - [c178]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. EMNLP 2023: 12868-12882 - [c177]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
Can GPT-3 Perform Statutory Reasoning? ICAIL 2023: 22-31 - [c176]Guanghui Qin, Benjamin Van Durme:
Nugget: Neural Agglomerative Embeddings of Text. ICML 2023: 28337-28350 - [c175]Kate Sanders, David Etter, Reno Kriz, Benjamin Van Durme:
MultiVENT: Multilingual Videos of Events and Aligned Natural Text. NeurIPS 2023 - [c174]Marc Marone, Benjamin Van Durme:
Data Portraits: Recording Foundation Model Training Data. NeurIPS 2023 - [c173]Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme:
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. NeurIPS 2023 - [i120]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
Can GPT-3 Perform Statutory Reasoning? CoRR abs/2302.06100 (2023) - [i119]Marc Marone, Benjamin Van Durme:
Data Portraits: Recording Foundation Model Training Data. CoRR abs/2303.03919 (2023) - [i118]Elias Stengel-Eskin, Benjamin Van Durme:
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. CoRR abs/2303.16857 (2023) - [i117]Orion Weller, Dawn J. Lawrie, Benjamin Van Durme:
NevIR: Negation in Neural Information Retrieval. CoRR abs/2305.07614 (2023) - [i116]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) - [i115]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) - [i114]Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray:
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. CoRR abs/2305.13993 (2023) - [i113]Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber:
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. CoRR abs/2305.14659 (2023) - [i112]Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme:
Zero and Few-shot Semantic Parsing with Ambiguous Inputs. CoRR abs/2306.00824 (2023) - [i111]Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. CoRR abs/2306.16722 (2023) - [i110]Kate Sanders, David Etter, Reno Kriz, Benjamin Van Durme:
MultiVENT: Multilingual Videos of Events with Aligned Natural Text. CoRR abs/2307.03153 (2023) - [i109]Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme:
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR abs/2307.07049 (2023) - [i108]Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini:
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. CoRR abs/2309.08541 (2023) - [i107]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? CoRR abs/2309.09992 (2023) - [i106]Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia:
SCREWS: A Modular Framework for Reasoning with Revisions. CoRR abs/2309.13075 (2023) - [i105]Guanghui Qin, Benjamin Van Durme:
Nugget: Neural Agglomerative Embeddings of Text. CoRR abs/2310.01732 (2023) - [i104]Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme:
Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models. CoRR abs/2310.02409 (2023) - [i103]Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov:
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. CoRR abs/2310.03991 (2023) - [i102]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. CoRR abs/2310.13793 (2023) - [i101]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. CoRR abs/2310.14495 (2023) - [i100]Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen:
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. CoRR abs/2311.02310 (2023) - [i99]Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White:
FAMuS: Frames Across Multiple Sources. CoRR abs/2311.05601 (2023) - [i98]William Fleshman, Benjamin Van Durme:
Toucan: Token-Aware Character Level Language Modeling. CoRR abs/2311.08620 (2023) - [i97]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
BLT: Can Large Language Models Handle Basic Legal Text? CoRR abs/2311.09693 (2023) - [i96]Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani:
Interpreting User Requests in the Context of Natural Language Standing Instructions. CoRR abs/2311.09796 (2023) - [i95]Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie:
Do Androids Know They're Only Dreaming of Electric Sheep? CoRR abs/2312.17249 (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]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) - [i39]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) - [i38]Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme:
A Discriminative Neural Model for Cross-Lingual Word Alignment. CoRR abs/1909.00444 (2019) - [i37]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. CoRR abs/1909.02607 (2019) - [i36]Tongfei Chen, Zhengping Jiang, Keisuke Sakaguchi, Benjamin Van Durme:
Uncertain Natural Language Inference. CoRR abs/1909.03042 (2019) - [i35]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. CoRR abs/1909.13851 (2019) - [i34]Matthew Francis-Landau, Benjamin Van Durme:
Exact and/or Fast Nearest Neighbors. CoRR abs/1910.02478 (2019) - [i33]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Transductive Parsing for Universal Decompositional Semantics. CoRR abs/1910.10138 (2019) - [i32]Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber:
Interactive Refinement of Cross-Lingual Word Embeddings. CoRR abs/1911.03070 (2019) - [i31]Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, Benjamin Van Durme:
Multi-Sentence Argument Linking. CoRR abs/1911.03766 (2019) - [i30]Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. CoRR abs/1912.01586 (2019) - 2018
- [c117]Keisuke Sakaguchi, Benjamin Van Durme:
Efficient Online Scalar Annotation with Bounded Support. ACL (1) 2018: 208-218 - [c116]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 - [c115]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 - [c114]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural-Davidsonian Semantic Proto-role Labeling. EMNLP 2018: 944-955 - [c113]Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. EMNLP 2018: 1664-1675 - [c112]Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic inference in neural models. EMNLP 2018: 4717-4724 - [c111]Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme:
Gender Bias in Coreference Resolution. NAACL-HLT (2) 2018: 8-14 - [c110]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 - [c109]Rachel Rudinger, Aaron Steven White, Benjamin Van Durme:
Neural Models of Factuality. NAACL-HLT 2018: 731-744 - [c108]Michelle Yuan, Benjamin Van Durme, Jordan L. Ying:
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. NeurIPS 2018: 8667-8677 - [c107]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 - [c106]Travis Wolfe, Annabelle Carrell, Mark Dredze, Benjamin Van Durme:
Summarizing Entities using Distantly Supervised Information Extractors. ProfS/KG4IR/Data:Search@SIGIR 2018: 51-58 - [c105]Rashmi Sankepally, Tongfei Chen, Benjamin Van Durme, Douglas W. Oard:
A Test Collection for Coreferent Mention Retrieval. SIGIR 2018: 1209-1212 - [c104]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT 2018: 142-147 - [c103]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. *SEM@NAACL-HLT 2018: 173-179 - [c102]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. *SEM@NAACL-HLT 2018: 180-191 - [i29]Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme:
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. TAC 2018 - [i28]Rachel Rudinger, Aaron Steven White, Benjamin Van Durme:
Neural models of factuality. CoRR abs/1804.02472 (2018) - [i27]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural Davidsonian Semantic Proto-role Labeling. CoRR abs/1804.07976 (2018) - [i26]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. CoRR abs/1804.08000 (2018) - [i25]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Cross-lingual Semantic Parsing. CoRR abs/1804.08037 (2018) - [i24]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) - [i23]Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme:
Gender Bias in Coreference Resolution. CoRR abs/1804.09301 (2018) - [i22]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) - [i21]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. CoRR abs/1805.01042 (2018) - [i20]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR abs/1805.08271 (2018) - [i19]Keisuke Sakaguchi, Benjamin Van Durme:
Efficient Online Scalar Annotation with Bounded Support. CoRR abs/1806.01170 (2018) - [i18]Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic Inference in Neural Models. CoRR abs/1808.06232 (2018) - [i17]Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky:
Predicting Argumenthood of English Preposition Phrases. CoRR abs/1809.07889 (2018) - [i16]Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR abs/1810.12885 (2018) - [i15]Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, 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:
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR abs/1812.10860 (2018) - 2017
- [j3]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5: 379-395 (2017) - [c101]Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. AAAI 2017: 3281-3287 - [c100]Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley:
Semantic Proto-Role Labeling. AAAI 2017: 4459-4466 - [c99]Keisuke Sakaguchi, Matt Post, Benjamin Van Durme:
Error-repair Dependency Parsing for Ungrammatical Texts. ACL (2) 2017: 189-195 - [c98]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
Pocket Knowledge Base Population. ACL (2) 2017: 305-310 - [c97]Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner:
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) 2017: 1029-1039 - [c96]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. EACL (2) 2017: 64-70 - [c95]Aaron Steven White, Kyle Rawlins, Benjamin Van Durme:
The Semantic Proto-Role Linking Model. EACL (2) 2017: 92-98 - [c94]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 - [c93]Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme:
Efficient, Compositional, Order-sensitive n-gram Embeddings. EACL (2) 2017: 503-508 - [c92]Tongfei Chen, Benjamin Van Durme:
Discriminative Information Retrieval for Question Answering Sentence Selection. EACL (2) 2017: 719-725 - [c91]Rachel Rudinger, Chandler May, Benjamin Van Durme:
Social Bias in Elicited Natural Language Inferences. EthNLP@EACL 2017: 74-79 - [c90]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 - [c89]Keisuke Sakaguchi, Matt Post, Benjamin Van Durme:
Grammatical Error Correction with Neural Reinforcement Learning. IJCNLP(2) 2017: 366-372 - [c88]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Selective Decoding for Cross-lingual Open Information Extraction. IJCNLP(1) 2017: 832-842 - [c87]Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme:
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. IJCNLP(1) 2017: 996-1005 - [c86]Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Skip-Prop: Representing Sentences with One Vector Per Proposition. IWCS(2) 2017 - [c85]Sheng Zhang, Rachel Rudinger, Benjamin Van Durme:
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. IWCS(2) 2017 - [c84]Pushpendre Rastogi, Benjamin Van Durme:
Predicting Asymmetric Transitive Relations in Knowledge Bases. KG4IR@SIGIR 2017: 7-12 - [c83]Pushpendre Rastogi, Adam Poliak, Benjamin Van Durme:
Training Relation Embeddings under Logical Constraints. KG4IR@SIGIR 2017: 25-31 - [c82]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 - [i14]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i13]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
Feature Generation for Robust Semantic Role Labeling. CoRR abs/1702.07046 (2017) - [i12]Chandler May, Kevin Duh, Benjamin Van Durme, Ashwin Lall:
Streaming Word Embeddings with the Space-Saving Algorithm. CoRR abs/1704.07463 (2017) - [i11]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) - [i10]Keisuke Sakaguchi, Matt Post, Benjamin Van Durme:
Grammatical Error Correction with Neural Reinforcement Learning. CoRR abs/1707.00299 (2017) - 2016
- [c81]Francis Ferraro, Benjamin Van Durme:
A Unified Bayesian Model of Scripts, Frames and Language. AAAI 2016: 2601-2607 - [c80]Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell:
Microsummarization of Online Reviews: An Experimental Study. AAAI 2016: 3015-3021 - [c79]Svitlana Volkova, Yoram Bachrach, Benjamin Van Durme:
Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. BigDataService 2016: 36-43 - [c78]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
A Study of Imitation Learning Methods for Semantic Role Labeling. SPNLP@EMNLP 2016: 44-53 - [c77]Tom Lippincott, Benjamin Van Durme:
Fluency detection on communication networks. EMNLP 2016: 1025-1029 - [c76]Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Universal Decompositional Semantics on Universal Dependencies. EMNLP 2016: 1713-1723 - [c75]Svitlana Volkova, Ilia Chetviorkin, Dustin Arendt, Benjamin Van Durme:
Contrasting Public Opinion Dynamics and Emotional Response During Crisis. SocInfo (1) 2016: 312-329 - [i9]Pushpendre Rastogi, Benjamin Van Durme:
A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations. CoRR abs/1605.04672 (2016) - [i8]Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network. CoRR abs/1608.02214 (2016) - [i7]Chandler May, Ryan Cotterell, Benjamin Van Durme:
Analysis of Morphology in Topic Modeling. CoRR abs/1608.03995 (2016) - [i6]Tongfei Chen, Benjamin Van Durme:
Discriminative Information Retrieval for Knowledge Discovery. CoRR abs/1610.01901 (2016) - [i5]Aaron Steven White, Dee Ann Reisinger, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Computational linking theory. CoRR abs/1610.02544 (2016) - [i4]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. CoRR abs/1611.00601 (2016) - 2015
- [j2]Dee Ann Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme:
Semantic Proto-Roles. Trans. Assoc. Comput. Linguistics 3: 475-488 (2015) - [c74]Svitlana Volkova, Benjamin Van Durme:
Online Bayesian Models for Personal Analytics in Social Media. AAAI 2015: 2325-2331 - [c73]Ellie Pavlick, Juri Ganitkevitch, Tsz Ping Chan, Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch:
Domain-Specific Paraphrase Extraction. ACL (2) 2015: 57-62 - [c72]Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme:
FrameNet+: Fast Paraphrastic Tripling of FrameNet. ACL (2) 2015: 408-413 - [c71]Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. ACL (2) 2015: 425-430 - [c70]Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch:
Adding Semantics to Data-Driven Paraphrasing. ACL (1) 2015: 1512-1522 - [c69]Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme:
Script Induction as Language Modeling. EMNLP 2015: 1681-1686 - [c68]Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero, Benjamin Van Durme:
Topic Identification and Discovery on Text and Speech. EMNLP 2015: 2377-2387 - [c67]Keith D. Levin, Aren Jansen, Benjamin Van Durme:
Segmental acoustic indexing for zero resource keyword search. ICASSP 2015: 5828-5832 - [c66]Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach:
Social Media Predictive Analytics. HLT-NAACL 2015: 9 - [c65]Travis Wolfe, Mark Dredze, Benjamin Van Durme:
Predicate Argument Alignment using a Global Coherence Model. HLT-NAACL 2015: 11-20 - [c64]Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze:
A Concrete Chinese NLP Pipeline. HLT-NAACL 2015: 86-90 - [c63]Pushpendre Rastogi, Benjamin Van Durme, Raman Arora:
Multiview LSA: Representation Learning via Generalized CCA. HLT-NAACL 2015: 556-566 - [c62]Rachel Rudinger, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, Manfred Pinkal:
Learning to predict script events from domain-specific text. *SEM@NAACL-HLT 2015: 205-210 - [i3]Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme:
Statistical modality tagging from rule-based annotations and crowdsourcing. CoRR abs/1503.01190 (2015) - [i2]Travis Wolfe, Mark Dredze, James Mayfield, Paul McNamee, Craig Harman, Tim Finin, Benjamin Van Durme:
Interactive Knowledge Base Population. CoRR abs/1506.00301 (2015) - [i1]Pushpendre Rastogi, Benjamin Van Durme:
Sublinear Partition Estimation. CoRR abs/1508.01596 (2015) - 2014
- [c61]Alex B. Fine, Austin F. Frank, T. Florian Jaeger, Benjamin Van Durme:
Biases in Predicting the Human Language Model. ACL (2) 2014: 7-12 - [c60]Charley Beller, Craig Harman, Benjamin Van Durme:
Predicting Fine-grained Social Roles with Selectional Preferences. LTCSS@ACL 2014: 50-55 - [c59]Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme:
I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes. ACL (2) 2014: 181-186 - [c58]Svitlana Volkova, Glen Coppersmith, Benjamin Van Durme:
Inferring User Political Preferences from Streaming Communications. ACL (1) 2014: 186-196 - [c57]Chandler May, Alex Clemmer, Benjamin Van Durme:
Particle Filter Rejuvenation and Latent Dirichlet Allocation. ACL (2) 2014: 446-451 - [c56]Miles Osborne, Ashwin Lall, Benjamin Van Durme:
Exponential Reservoir Sampling for Streaming Language Models. ACL (2) 2014: 687-692 - [c55]Xuchen Yao, Benjamin Van Durme:
Information Extraction over Structured Data: Question Answering with Freebase. ACL (1) 2014: 956-966 - [c54]Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze:
Low-Resource Semantic Role Labeling. ACL (1) 2014: 1177-1187 - [c53]Pushpendre Rastogi, Benjamin Van Durme:
Augmenting FrameNet Via PPDB. EVENTS@ACL 2014: 1-5 - [c52]Jacqueline Aguilar, Charley Beller, Paul McNamee, Benjamin Van Durme, Stephanie M. Strassel, Zhiyi Song, Joe Ellis:
A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards. EVENTS@ACL 2014: 45-53 - [c51]Rachel Rudinger, Benjamin Van Durme:
Is the Stanford Dependency Representation Semantic? EVENTS@ACL 2014: 54-58 - [c50]Jennifer Drexler, Pushpendre Rastogi, Jacqueline Aguilar, Benjamin Van Durme, Matt Post:
A Wikipedia-based Corpus for Contextualized Machine Translation. LREC 2014: 3593-3596 - [c49]Keisuke Sakaguchi, Matt Post, Benjamin Van Durme:
Efficient Elicitation of Annotations for Human Evaluation of Machine Translation. WMT@ACL 2014: 1-11 - 2013
- [c48]Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao:
PARMA: A Predicate Argument Aligner. ACL (2) 2013: 63-68 - [c47]Xuchen Yao, Benjamin Van Durme, Peter Clark:
Automatic Coupling of Answer Extraction and Information Retrieval. ACL (2) 2013: 159-165 - [c46]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
A Lightweight and High Performance Monolingual Word Aligner. ACL (2) 2013: 702-707 - [c45]Shane Bergsma, Benjamin Van Durme:
Using Conceptual Class Attributes to Characterize Social Media Users. ACL (1) 2013: 710-720 - [c44]Jonathan Gordon, Benjamin Van Durme:
Reporting bias and knowledge acquisition. AKBC@CIKM 2013: 25-30 - [c43]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
Semi-Markov Phrase-Based Monolingual Alignment. EMNLP 2013: 590-600 - [c42]Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, Benjamin Van Durme:
Open Domain Targeted Sentiment. EMNLP 2013: 1643-1654 - [c41]Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
PPDB: The Paraphrase Database. HLT-NAACL 2013: 758-764 - [c40]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark:
Answer Extraction as Sequence Tagging with Tree Edit Distance. HLT-NAACL 2013: 858-867 - [c39]Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky:
Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. HLT-NAACL 2013: 1010-1019 - 2012
- [c38]Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme:
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. ExProM@ACL 2012: 57-64 - [c37]Francis Ferraro, Matt Post, Benjamin Van Durme:
Judging Grammaticality with Count-Induced Tree Substitution Grammars. BEA@NAACL-HLT 2012: 116-121 - [c36]Benjamin Van Durme:
Streaming Analysis of Discourse Participants. EMNLP-CoNLL 2012: 48-58 - [c35]Aren Jansen, Benjamin Van Durme:
Indexing Raw Acoustic Features for Scalable Zero Resource Search. INTERSPEECH 2012: 2466-2469 - [c34]Aren Jansen, Benjamin Van Durme, Pascal Clark:
The JHU-HLTCOE Spoken Web Search System for MediaEval 2012. MediaEval 2012 - [c33]Courtney Napoles, Matthew R. Gormley, Benjamin Van Durme:
Annotated Gigaword. AKBC-WEKEX@NAACL-HLT 2012: 95-100 - [c32]Brian Kjersten, Benjamin Van Durme:
Space Efficiencies in Discourse Modeling via Conditional Random Sampling. HLT-NAACL 2012: 513-517 - [c31]Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch:
Expectations of Word Sense in Parallel Corpora. HLT-NAACL 2012: 621-625 - [c30]Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner:
Shared Components Topic Models. HLT-NAACL 2012: 783-792 - [c29]Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
Monolingual Distributional Similarity for Text-to-Text Generation. *SEM@NAACL-HLT 2012: 256-264 - 2011
- [j1]Roger Azevedo, Gautam Biswas, Dan Bohus, Ted Carmichael, Mark A. Finlayson, Mirsad Hadzikadic, Catherine Havasi, Eric Horvitz, Takayuki Kanda, Oluwasanmi Koyejo, William F. Lawless, Douglas B. Lenat, Felipe Meneguzzi, Bilge Mutlu, Jean Oh, Roberto Pirrone, Antoine Raux, Donald A. Sofge, Gita Sukthankar, Benjamin Van Durme:
Reports of the AAAI 2010 Fall Symposia. AI Mag. 32(1): 93-100 (2011) - [c28]Benjamin Van Durme, Ashwin Lall:
Efficient Online Locality Sensitive Hashing via Reservoir Counting. ACL (2) 2011: 18-23 - [c27]Courtney Napoles, Chris Callison-Burch, Juri Ganitkevitch, Benjamin Van Durme:
Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. Monolingual@ACL 2011: 84-90 - [c26]Courtney Napoles, Benjamin Van Durme, Chris Callison-Burch:
Evaluating Sentence Compression: Pitfalls and Suggested Remedies. Monolingual@ACL 2011: 91-97 - [c25]Tsz Ping Chan, Chris Callison-Burch, Benjamin Van Durme:
Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity. GEMS 2011: 33-42 - [c24]Aren Jansen, Benjamin Van Durme:
Efficient spoken term discovery using randomized algorithms. ASRU 2011: 401-406 - [c23]Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, Benjamin Van Durme:
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. EMNLP 2011: 1168-1179 - [c22]Shane Bergsma, Benjamin Van Durme:
Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images. IJCAI 2011: 1764-1769 - [c21]Xuchen Yao, Benjamin Van Durme:
Nonparametric Bayesian Word Sense Induction. Graph-based Methods for Natural Language Processing 2011: 10-14 - 2010
- [c20]Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert:
Learning from the Web: Extracting General World Knowledge from Noisy Text. Collaboratively-Built Knowledge Sources and AI 2010 - [c19]Catherine Havasi, Douglas B. Lenat, Benjamin Van Durme:
Organizing Committee. AAAI Fall Symposium: Commonsense Knowledge 2010 - [c18]Catherine Havasi, Douglas B. Lenat, Benjamin Van Durme:
Preface. AAAI Fall Symposium: Commonsense Knowledge 2010 - [c17]Lenhart K. Schubert, Benjamin David Van Durme, Marzieh Bazrafshan:
Entailment Inference in a Natural Logic-like General Reasoner. AAAI Fall Symposium: Commonsense Knowledge 2010 - [c16]Benjamin Van Durme, Ashwin Lall:
Online Generation of Locality Sensitive Hash Signatures. ACL (2) 2010: 231-235 - [c15]Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert:
Evaluation of Commonsense Knowledge with Mechanical Turk. Mturk@HLT-NAACL 2010: 159-162
2000 – 2009
- 2009
- [c14]Benjamin Van Durme, Phillip Michalak, Lenhart K. Schubert:
Deriving Generalized Knowledge from Corpora Using WordNet Abstraction. EACL 2009: 808-816 - [c13]Benjamin Van Durme, Ashwin Lall:
Probabilistic Counting with Randomized Storage. IJCAI 2009: 1574-1579 - [c12]Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert:
Weblogs as a source for extracting general world knowledge. K-CAP 2009: 185-186 - [c11]Ting Qian, Benjamin Van Durme, Lenhart K. Schubert:
Building a Semantic Lexicon of English Nouns via Bootstrapping. HLT-NAACL (Student Research Workshop and Doctoral Consortium) 2009: 37-42 - [c10]Benjamin Van Durme, Ashwin Lall:
Streaming Pointwise Mutual Information. NIPS 2009: 1892-1900 - 2008
- [c9]Benjamin Van Durme, Marius Pasca:
Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction. AAAI 2008: 1243-1248 - [c8]Marius Pasca, Benjamin Van Durme:
Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. ACL 2008: 19-27 - [c7]Dekang Lin, Shaojun Zhao, Benjamin Van Durme, Marius Pasca:
Mining Parenthetical Translations from the Web by Word Alignment. ACL 2008: 994-1002 - [c6]Benjamin Van Durme, Lenhart K. Schubert:
Open Knowledge Extraction through Compositional Language Processing. STEP 2008 - [c5]Benjamin Van Durme, Ting Qian, Lenhart K. Schubert:
Class-Driven Attribute Extraction. COLING 2008: 921-928 - 2007
- [c4]Marius Pasca, Benjamin Van Durme, Nikesh Garera:
The role of documents vs. queries in extracting class attributes from text. CIKM 2007: 485-494 - [c3]Marius Pasca, Benjamin Van Durme:
What You Seek Is What You Get: Extraction of Class Attributes from Query Logs. IJCAI 2007: 2832-2837 - 2004
- [c2]Anna Kupsc, Teruko Mitamura, Benjamin Van Durme, Eric Nyberg:
Pronominal Anaphora Resolution for Unrestricted Text. LREC 2004 - 2003
- [c1]Eric Nyberg, Teruko Mitamura, James P. Callan, Jaime G. Carbonell, Robert E. Frederking, Kevyn Collins-Thompson, Laurie Hiyakumoto, Yifen Huang, Curtis Huttenhower, Scott Judy, Jeongwoo Ko, Anna Kupsc, Lucian Vlad Lita, Vasco Pedro, David Svoboda, Benjamin Van Durme:
The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. TREC 2003
Coauthor Index
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last updated on 2025-05-02 23:57 CEST by the dblp team
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