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2025

  1. Akhil Deo, Kate Sanders, and Benjamin Van Durme. 2025. SocialNLI: A Dialogue-Centric Social Inference Dataset. In arXiv.org. [pdf] [bibtex]
  2. Michael Y. Hu, Benjamin Van Durme, Jacob Andreas, and Harsh Jhamtani. 2025. Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting. In arXiv.org. [pdf] [bibtex]
  3. Alexander Martin, William Walden, Reno Kriz, Dengjia Zhang, Kate Sanders, Eugene Yang, Chihsheng Jin, and Benjamin Van Durme. 2025. Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation. In arXiv.org. [pdf] [bibtex]
  4. Jingyu Zhang, Haozhu Wang, E. Smith, Sid Wang, Amr Sharaf, Ma-hesh Pasupuleti, Benjamin Van Durme, Daniel Khashabi, Jason E. Weston, and Hongyuan Zhan. 2025. The Alignment Waltz: Jointly Training Agents to Collaborate for Safety. In arXiv.org. [pdf] [bibtex]
  5. Miriam Wanner, Leif Azzopardi, Paul Thomas, Soham Dan, Benjamin Van Durme, and Nick Craswell. 2025. All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations. In arXiv.org. [pdf] [bibtex]
  6. William Fleshman and Benjamin Van Durme. 2025. SEQR: Secure and Efficient QR-based LoRA Routing. In arXiv.org. [pdf] [bibtex]
  7. Marc Marone, Orion Weller, William Fleshman, Eugene Yang, Dawn J. Lawrie, and Benjamin Van Durme. 2025. mmBERT: A Modern Multilingual Encoder with Annealed Language Learning. In arXiv.org. [pdf] [bibtex]
  8. William Jurayj, Nils Holzenberger, and Benjamin Van Durme. 2025. Language Models and Logic Programs for Trustworthy Financial Reasoning. In arXiv.org. [pdf] [bibtex]
  9. Andrew Blair-Stanek, Nils Holzenberger, and Benjamin Van Durme. 2025. Can LLMs Identify Tax Abuse? In arXiv.org. [pdf] [bibtex]
  10. Sam Barham, Chandler May, and Benjamin Van Durme. 2025. MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources. In arXiv.org. [pdf] [bibtex]
  11. Orion Weller, Kathryn Ricci, Marc Marone, Antoine Chaffin, Dawn J. Lawrie, and Benjamin Van Durme. 2025. Seq vs Seq: An Open Suite of Paired Encoders and Decoders. In arXiv.org. [pdf] [bibtex]
  12. Vivek Chari and Benjamin Van Durme. 2025. Compactor: Calibrated Query-Agnostic KV Cache Compression with Approximate Leverage Scores. In arXiv.org. [pdf] [bibtex]
  13. William Fleshman and Benjamin Van Durme. 2025. LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks. In arXiv.org. [pdf] [bibtex]
  14. William Walden, Kathryn Ricci, Miriam Wanner, Zhengping Jiang, Chandler May, Rongkun Zhou, and Benjamin Van Durme. 2025. How Grounded is Wikipedia? A Study on Structured Evidential Support. In arXiv.org. [pdf] [bibtex]
  15. Jingyu Zhang, Ahmed Elgohary, Xiawei Wang, Ahmed Magooda, Benjamin Van Durme, Daniel Khashabi, Kyle Jackson, JBDistill Benchmark JBDistill Benchmark, Marah Abdin, Jyoti Aneja, Harkirat Singh Behl, Sébastien Bubeck, Ronen Eldan, S. Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, et al. 2025. Jailbreak Distillation: Renewable Safety Benchmarking. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  16. Liaoyaqi Wang, Zhengping Jiang, Anqi Liu, and Benjamin Van Durme. 2025. Always Tell Me The Odds: Fine-grained Conditional Probability Estimation. In arXiv.org. [pdf] [bibtex]
  17. Eugene Yang, Andrew Yates, Kathryn Ricci, Orion Weller, Vivek Chari, Benjamin Van Durme, and Dawn J. Lawrie. 2025. Rank-K: Test-Time Reasoning for Listwise Reranking. In arXiv.org. [pdf] [bibtex]
  18. Weiqi Wang, Jiefu Ou, Yangqiu Song, Benjamin Van Durme, and Daniel Khashabi. 2025. Can LLMs Generate Tabular Summaries of Science Papers? Rethinking the Evaluation Protocol. In arXiv.org. [pdf] [bibtex]
  19. Nishant Subramani, Jason Eisner, Justin Svegliato, Benjamin Van Durme, Yu Su, and Sam Thomson. 2025. MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  20. Jingyu Zhang, Jiacan Yu, Marc Marone, Benjamin Van Durme, and Daniel Khashabi. 2025. Certified Mitigation of Worst-Case LLM Copyright Infringement. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  21. Kate Sanders and Benjamin Van Durme. 2025. Bonsai: Interpretable Tree-Adaptive Grounded Reasoning. In arXiv.org. [pdf] [bibtex]
  22. Alexander Martin, Reno Kriz, William Gantt Walden, Kate Sanders, Hannah Recknor, Eugene Yang, Francis Ferraro, and Benjamin Van Durme. 2025. WikiVideo: Article Generation from Multiple Videos. In arXiv.org. [pdf] [bibtex]
  23. William Fleshman and Benjamin Van Durme. 2025. SpectR: Dynamically Composing LM Experts with Spectral Routing. In arXiv.org. [pdf] [bibtex]
  24. Vivek Chari, Guanghui Qin, and Benjamin Van Durme. 2025. KV-Distill: Nearly Lossless Learnable Context Compression for LLMs. In arXiv.org. [pdf] [bibtex]
  25. 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, and Benjamin Van Durme. 2025. CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  26. Nick McKenna, Xinnuo Xu, Jack Williams, Nick Wilson, Benjamin Van Durme, and Christian Poelitz. 2025. Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages. In arXiv.org. [pdf] [bibtex]
  27. Arun Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, and Ramalingam Chellappa. 2025. Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. In Computer Vision and Pattern Recognition. [pdf] [bibtex]
  28. Tongfei Chen, Ankita Sharma, Adam Pauls, and Benjamin Van Durme. 2025. Hierarchical corpus encoder: Fusing generative retrieval and dense indices. In arXiv.org. [pdf] [bibtex]
  29. Orion Weller, Kathryn Ricci, Eugene Yang, Andrew Yates, Dawn J. Lawrie, and Benjamin Van Durme. 2025. Rank1: Test-Time Compute for Reranking in Information Retrieval. In arXiv.org. [pdf] [bibtex]
  30. William Jurayj, Jeffrey Cheng, and Benjamin Van Durme. 2025. Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  31. Zhengping Jiang, Anqi Liu, and Benjamin Van Durme. 2025. Conformal Linguistic Calibration: Trading-off between Factuality and Specificity. In arXiv.org. [pdf] [bibtex]
  32. Harsh Jhamtani, Jacob Andreas, and Benjamin Van Durme. 2025. LM Agents for Coordinating Multi-User Information Gathering. In arXiv.org. [pdf] [bibtex]
  33. Orion Weller, Benjamin Chang, Eugene Yang, M. Yarmohammadi, Sam Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, and Dawn J. Lawrie. 2025. mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval. In European Conference on Information Retrieval. [pdf] [bibtex]
  34. Andrew Blair-Stanek and Benjamin Van Durme. 2025. LLMs Provide Unstable Answers to Legal Questions. In arXiv.org. [pdf] [bibtex]
  35. Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu (Jack) Zhang, Chuyu Liu, Benjamin Van Durme, and Daniel Khashabi. 2025. RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  36. A. Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme. 2025. CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  37. Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, and J. Boyd-Graber. 2025. ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly. In International Conference on Computational Linguistics. [pdf] [bibtex]
  38. Harsh Jhamtani, Jacob Andreas, and Benjamin Van Durme. 2025. LLM Agents for Coordinating Multi-User Information Gathering. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]

2024

  1. Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, and Chris Kedzie. 2024. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  2. Miriam Wanner, Benjamin Van Durme, and Mark Dredze. 2024. DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation. In arXiv.org. [pdf] [bibtex]
  3. Nathaniel Weir, Bhavana Dalvi, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Alexander Jansen, Benjamin Van Durme, and Peter Clark. 2024. From Models to Microtheories: Distilling a Model’s Topical Knowledge for Grounded Question Answering. In International Conference on Learning Representations. [pdf] [bibtex]
  4. Jeffrey Cheng and Benjamin Van Durme. 2024. Compressed Chain of Thought: Efficient Reasoning Through Dense Representations. In arXiv.org. [pdf] [bibtex]
  5. Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke S. Zettlemoyer, Jianfeng Gao, and Hao Cheng. 2024. Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. In International Conference on Learning Representations. [pdf] [bibtex]
  6. Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, and Benjamin Van Durme. 2024. Grounding Partially-Defined Events in Multimodal Data. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  7. Millicent Li, Tongfei Chen, Benjamin Van Durme, and Patrick Xia. 2024. Multi-Field Adaptive Retrieval. In International Conference on Learning Representations. [pdf] [bibtex]
  8. 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, and Benjamin Van Durme. 2024. MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval. In Computer Vision and Pattern Recognition. [pdf] [bibtex]
  9. Jingyu (Jack) Zhang, Ahmed Elgohary, Ahmed Magooda, Daniel Khashabi, and Benjamin Van Durme. 2024. Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements. In International Conference on Learning Representations. [pdf] [bibtex]
  10. Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu Zhang, Chuyu Liu, Benjamin Van Durme, and Daniel Khashabi. 2024. RATIONALYST: Mining Implicit Rationales for Process Supervision of Reasoning. In Preprint. [pdf] [bibtex]
  11. Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, and Jack Hessel. 2024. Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. In International Conference on Learning Representations. [pdf] [bibtex]
  12. A. Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme. 2024. Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations. In arXiv.org. [pdf] [bibtex]
  13. Xu Han, Felix Yu, João Sedoc, and Benjamin Van Durme. 2024. Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations. In arXiv.org. [pdf] [bibtex]
  14. Jiefu Ou, Arda Uzunouglu, Benjamin Van Durme, and Daniel Khashabi. 2024. WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. In AAAI Conference on Artificial Intelligence. [pdf] [bibtex]
  15. Zhengping Jiang, Jingyu (Jack) Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, and Benjamin Van Durme. 2024. Core: Robust Factual Precision with Informative Sub-Claim Identification. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  16. Kate Sanders and Benjamin Van Durme. 2024. A Survey of Video Datasets for Grounded Event Understanding. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). [pdf] [bibtex]
  17. William Fleshman and Benjamin Van Durme. 2024. RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. [pdf] [bibtex]
  18. A. Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme. 2024. CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. In arXiv.org. [pdf] [bibtex]
  19. Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, and Benjamin Van Durme. 2024. Learning to Retrieve Iteratively for In-Context Learning. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  20. William Fleshman and Benjamin Van Durme. 2024. RE-Adapt: Reverse Engineered Adaptation of Large Language Models. In arXiv.org. [pdf] [bibtex]
  21. Jingyu (Jack) Zhang, Marc Marone, Tianjian Li, Benjamin Van Durme, and Daniel Khashabi. 2024. Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  22. William Fleshman, Aleem Khan, Marc Marone, and Benjamin Van Durme. 2024. AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. In CAMLIS. [pdf] [bibtex]
  23. Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, and Daniel Khashabi. 2024. SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. In AAAI Conference on Artificial Intelligence. [pdf] [bibtex]
  24. Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, and Yu Su. 2024. LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  25. Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jingyu (Jack) Zhang, Benjamin Van Durme, and Daniel Khashabi. 2024. Tur[k]ingBench: A Challenge Benchmark for Web Agents. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  26. Jeffrey Cheng, Marc Marone, Orion Weller, Dawn J. Lawrie, Daniel Khashabi, and Benjamin Van Durme. 2024. Dated Data: Tracing Knowledge Cutoffs in Large Language Models. In arXiv.org. [pdf] [bibtex]
  27. Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, and Luca Soldaini. 2024. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  28. Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, and Benjamin Van Durme. 2024. A Closer Look at Claim Decomposition. In STARSEM. [pdf] [bibtex]
  29. Kate Sanders, Nathaniel Weir, and Benjamin Van Durme. 2024. TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  30. Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, and Anqi Liu. 2024. RORA: Robust Free-Text Rationale Evaluation. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  31. Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi, Oyvind Tafjord, Peter Alexander Jansen, Peter Clark, and Benjamin Van Durme. 2024. Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  32. Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, and Philipp Koehn. 2024. Streaming Sequence Transduction through Dynamic Compression. In International Workshop on Spoken Language Translation. [pdf] [bibtex]
  33. William Gantt Walden, Shabnam Behzad, Hannah YoungEun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, and M. Yarmohammadi. 2024. MultiMUC: Multilingual Template Filling on MUC-4. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  34. Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, and Nils Holzenberger. 2024. Reframing Tax Law Entailment as Analogical Reasoning. In arXiv.org. [pdf] [bibtex]
  35. Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, and Young Jin Kim. 2024. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. In International Conference on Machine Learning. [pdf] [bibtex]
  36. A. Hou, Jingyu (Jack) Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, and Yulia Tsvetkov. 2024. SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  37. Dongwei Jiang, Jingyu (Jack) Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, and Daniel Khashabi. 2024. SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. In arXiv.org. [pdf] [bibtex]

2023

  1. Sky CH-Wang, Benjamin Van Durme, Jason Eisner, and Chris Kedzie. 2023. Do Androids Know They’re Only Dreaming of Electric Sheep? In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  2. William Fleshman and Benjamin Van Durme. 2023. Toucan: Token-Aware Character Level Language Modeling. In arXiv.org. [pdf] [bibtex]
  3. Andrew Blair-Stanek, Nils Holzenberger, and Benjamin Van Durme. 2023. BLT: Can Large Language Models Handle Basic Legal Text? In NLLP. [pdf] [bibtex]
  4. Siddharth Vashishtha, Alexander Martin, William Gantt Walden, Benjamin Van Durme, and Aaron Steven White. 2023. FAMuS: Frames Across Multiple Sources. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  5. Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, and Yunmo Chen. 2023. Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. In NAACL-HLT. [pdf] [bibtex]
  6. Nikita Moghe, Patrick Xia, Jacob Andreas, J. Eisner, Benjamin Van Durme, and Harsh Jhamtani. 2023. Interpreting User Requests in the Context of Natural Language Standing Instructions. In NAACL-HLT. [pdf] [bibtex]
  7. Guanghui Qin and Benjamin Van Durme. 2023. Nugget: Neural Agglomerative Embeddings of Text. In International Conference on Machine Learning. [pdf] [bibtex]
  8. Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Poelitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, and E. Nouri. 2023. InstructExcel: A Benchmark for Natural Language Instruction in Excel. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  9. Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, and Benjamin Van Durme. 2023. Dodo: Dynamic Contextual Compression for Decoder-only LMs. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  10. Yunmo Chen, William Gantt Walden, Tongfei Chen, Aaron Steven White, and Benjamin Van Durme. 2023. A Unified View of Evaluation Metrics for Structured Prediction. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  11. K. Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, and Patrick Xia. 2023. SCREWS: A Modular Framework for Reasoning with Revisions. In arXiv.org. [pdf] [bibtex]
  12. Andrew Blair-Stanek, Nils Holzenberger, and Benjamin Van Durme. 2023. OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? In arXiv.org. [pdf] [bibtex]
  13. Orion Weller, Kyle Lo, David Wadden, Dawn J Lawrie, Benjamin Van Durme, Arman Cohan, and Luca Soldaini. 2023. When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. In Findings. [pdf] [bibtex]
  14. Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, M. Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, and Benjamin Van Durme. 2023. MegaWika: Millions of reports and their sources across 50 diverse languages. In arXiv.org. [pdf] [bibtex]
  15. Kate Sanders, David Etter, Reno Kriz, and Benjamin Van Durme. 2023. MultiVENT: Multilingual Videos of Events with Aligned Natural Text. In Neural Information Processing Systems. [pdf] [bibtex]
  16. Elias Stengel-Eskin, Kyle Rawlins, and Benjamin Van Durme. 2023. Zero and Few-shot Semantic Parsing with Ambiguous Inputs. In International Conference on Learning Representations. [pdf] [bibtex]
  17. Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, and Adam Poliak. 2023. Evaluating Paraphrastic Robustness in Textual Entailment Models. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  18. Ishani Mondal, Michelle Yuan, N. Anandhavelu, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, and Jordan L. Boyd-Graber. 2023. InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. In arXiv.org. [pdf] [bibtex]
  19. Orion Weller, Dawn J Lawrie, and Benjamin Van Durme. 2023. NevIR: Negation in Neural Information Retrieval. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  20. Orion Weller, Marc Marone, Nathaniel Weir, Dawn J Lawrie, Daniel Khashabi, and Benjamin Van Durme. 2023. “According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  21. Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, and Benjamin Van Durme. 2023. Natural Language Decomposition and Interpretation of Complex Utterances. In International Joint Conference on Artificial Intelligence. [pdf] [bibtex]
  22. Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, and Kenton Murray. 2023. Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  23. Marc Marone and Benjamin Van Durme. 2023. Data Portraits: Recording Foundation Model Training Data. In Neural Information Processing Systems. [pdf] [bibtex]
  24. Elias Stengel-Eskin and Benjamin Van Durme. 2023. Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  25. Andrew Blair-Stanek, Nils Holzenberger, and Benjamin Van Durme. 2023. Can GPT-3 Perform Statutory Reasoning? In International Conference on Artificial Intelligence and Law. [pdf] [bibtex]
  26. Shabnam Behzad, Seth Ebner, Marc Marone, Benjamin Van Durme, and M. Yarmohammadi. 2023. The Effect of Alignment Correction on Cross-Lingual Annotation Projection. In Law. [pdf] [bibtex]

2022

  1. Zhuowan Li, Cihang Xie, Benjamin Van Durme, and Alan Yuille. 2022. Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  2. Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J Lawrie, and Benjamin Van Durme. 2022. Defending Against Disinformation Attacks in Open-Domain Question Answering. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  3. Kangda Wei, Dawn J Lawrie, Benjamin Van Durme, Yunmo Chen, and Orion Weller. 2022. When Do Decompositions Help for Machine Reading? In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  4. Nathaniel Weir, Ryan Thomas, Randolph D’Amore, Kellie Hill, Benjamin Van Durme, and Harsh Jhamtani. 2022. Ontologically Faithful Generation of Non-Player Character Dialogues. In arXiv.org. [pdf] [bibtex]
  5. Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan Yuille Johns Hopkins University, U. California, Max Planck Institute for Informatics, and U. Freiburg. 2022. Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. In Computer Vision and Pattern Recognition. [pdf] [bibtex]
  6. Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, and Benjamin Van Durme. 2022. Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  7. Elias Stengel-Eskin and Benjamin Van Durme. 2022. Calibrated Interpretation: Confidence Estimation in Semantic Parsing. In Transactions of the Association for Computational Linguistics. [pdf] [bibtex]
  8. Kate Sanders, Reno Kriz, Anqi Liu, and Benjamin Van Durme. 2022. Ambiguous Images With Human Judgments for Robust Visual Event Classification. In Neural Information Processing Systems. [pdf] [bibtex]
  9. Yukun Feng, Patrick Xia, Benjamin Van Durme, and João Sedoc. 2022. Automatic Document Selection for Efficient Encoder Pretraining. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  10. Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, and Benjamin Van Durme. 2022. Iterative Document-level Information Extraction via Imitation Learning. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  11. Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, and Benjamin Van Durme. 2022. An Empirical Study on Finding Spans. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  12. Nathaniel Weir and Benjamin Van Durme. 2022. NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. In Preprint. [pdf] [bibtex]
  13. Boyuan Zheng, Patrick Xia, M. Yarmohammadi, and Benjamin Van Durme. 2022. Multilingual Coreference Resolution in Multiparty Dialogue. In Transactions of the Association for Computational Linguistics. [pdf] [bibtex]
  14. Shijie Wu, Benjamin Van Durme, and Mark Dredze. 2022. Zero-shot Cross-lingual Transfer is Under-specified Optimization. In Workshop on Representation Learning for NLP. [pdf] [bibtex]
  15. Orion Weller, Marc Marone, V. Braverman, Dawn J Lawrie, and Benjamin Van Durme. 2022. Pretrained Models for Multilingual Federated Learning. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  16. Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme, Microsoft Semantic Machines, and Scaled Cognition. 2022. BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. In Neural Information Processing Systems. [pdf] [bibtex]
  17. Nils Holzenberger, Yunmo Chen, and Benjamin Van Durme. 2022. Asking the Right Questions in Low Resource Template Extraction. In arXiv.org. [pdf] [bibtex]
  18. Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, J. Eisner, and Yu Su. 2022. When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  19. Kevin Yang, O. Deng, Charles Chen, Richard Shin, Subhro Roy, and Benjamin Van Durme. 2022. Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. In Findings. [pdf] [bibtex]
  20. Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, and Elias Stengel-Eskin. 2022. Visual Commonsense in Pretrained Unimodal and Multimodal Models. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  21. Elias Stengel-Eskin and Benjamin Van Durme. 2022. The Curious Case of Control. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  22. Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, R. Laroche, I. Momennejad, H. V. Seijen, and Benjamin Van Durme. 2022. One-Shot Learning from a Demonstration with Hierarchical Latent Language. In Adaptive Agents and Multi-Agent Systems. [pdf] [bibtex]
  23. Guanghui Qin, Yukun Feng, and Benjamin Van Durme. 2022. The NLP Task Effectiveness of Long-Range Transformers. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  24. Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, J. Eisner, and Benjamin Van Durme. 2022. BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. In arXiv.org. [pdf] [bibtex]
  25. Anton Belyy, Huang Chieh-Yang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles C. Chen, and Benjamin Van Durme. 2022. Guided K-best Selection for Semantic Parsing Annotation. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  26. Andrew Blair-Stanek and Benjamin Van Durme. 2022. Improved Induction of Narrative Chains via Cross-Document Relations. In STARSEM. [pdf] [bibtex]
  27. Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J Lawrie, and Benjamin Van Durme. 2022. Defending Against Poisoning Attacks in Open-Domain Question Answering. In arXiv.org. [pdf] [bibtex]
  28. Zhengping Jiang, Anqi Liu, and Benjamin Van Durme. 2022. Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  29. Patrick Xia and Benjamin Van Durme. 2022. Online Neural Coreference Resolution with Rollback. In CRAC. [pdf] [bibtex]
  30. Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan Yuille Johns Hopkins University, U. California, and Santa Cruz. 2022. Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? In arXiv.org. [pdf] [bibtex]
  31. Ryan Volum, Sudha Rao, Michael Xu, Gabriel DesGarennes, Chris Brockett, Benjamin Van Durme, O. Deng, Akanksha Malhotra, and Bill Dolan. 2022. Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code. In WORDPLAY. [pdf] [bibtex]
  32. Nathaniel Weir and Benjamin Van Durme. 2022. Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. In arXiv.org. [pdf] [bibtex]

2021

  1. Richard Shin and Benjamin Van Durme. 2021. Few-Shot Semantic Parsing with Language Models Trained on Code. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  2. Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Q. Tran, Benjamin Van Durme, and A. Yuille. 2021. Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. In IEEE International Conference on Computer Vision. [pdf] [bibtex]
  3. Haoran Xu, Benjamin Van Durme, and Kenton Murray. 2021. BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  4. M. Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton W. Murray, Aaron Steven White, Mark Dredze, and Benjamin Van Durme. 2021. Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  5. Elias Stengel-Eskin, Jimena Guallar-Blasco, and Benjamin Van Durme. 2021. Human-Model Divergence in the Handling of Vagueness. In UNIMPLICIT. [pdf] [bibtex]
  6. Thomas Lippincott and Benjamin Van Durme. 2021. Active learning and negative evidence for language identification. In DASH. [pdf] [bibtex]
  7. Andrew Blair-Stanek and Benjamin Van Durme. 2021. AI for Tax Analogies and Code Renumbering. In Tax Law: Practitioner Series eJournal. [pdf] [bibtex]
  8. Nils Holzenberger and Benjamin Van Durme. 2021. Factoring Statutory Reasoning as Language Understanding Challenges. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  9. Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, Aaron Steven White, and Benjamin Van Durme. 2021. Joint Universal Syntactic and Semantic Parsing. In Transactions of the Association for Computational Linguistics. [pdf] [bibtex]
  10. Richard Shin, C. H. Lin, Sam Thomson, Charles C. Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, D. Klein, J. Eisner, and Benjamin Van Durme. 2021. Constrained Language Models Yield Few-Shot Semantic Parsers. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  11. Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, and Benjamin Van Durme. 2021. Human Schema Curation via Causal Association Rule Mining. In Law. [pdf] [bibtex]
  12. Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, and Jordan L. Boyd-Graber. 2021. Adapting Coreference Resolution Models through Active Learning. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  13. Patrick Xia and Benjamin Van Durme. 2021. Moving on from OntoNotes: Coreference Resolution Model Transfer. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  14. Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix X. Yu, and Benjamin Van Durme. 2021. InFillmore: Frame-Guided Language Generation with Bidirectional Context. In STARSEM. [pdf] [bibtex]
  15. Haoran Xu, Seth Ebner, M. Yarmohammadi, A. White, Benjamin Van Durme, and Kenton Murray. 2021. Gradual Fine-Tuning for Low-Resource Domain Adaptation. In ADAPTNLP. [pdf] [bibtex]
  16. Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, A. White, and Benjamin Van Durme. 2021. LOME: Large Ontology Multilingual Extraction. In Conference of the European Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  17. Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, and Jamie Callan. 2021. Complement Lexical Retrieval Model with Semantic Residual Embeddings. In European Conference on Information Retrieval. [pdf] [bibtex]

2020

  1. Yunmo Chen, Tongfei Chen, and Benjamin Van Durme. 2020. Joint Modeling of Arguments for Event Understanding. In CODI. [pdf] [bibtex]
  2. Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, and Aaron Steven White. 2020. Temporal Reasoning in Natural Language Inference. In Findings. [pdf] [bibtex]
  3. Nathaniel Weir, João Sedoc, and Benjamin Van Durme. 2020. COD3S: Diverse Generation with Discrete Semantic Signatures. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  4. Abhinav Singh, Patrick Xia, Guanghui Qin, M. Yarmohammadi, and Benjamin Van Durme. 2020. CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. In SPNLP. [pdf] [bibtex]
  5. Patrick Xia, Shijie Wu, and Benjamin Van Durme. 2020. Which *BERT? A Survey Organizing Contextualized Encoders. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  6. Anton Belyy and Benjamin Van Durme. 2020. Script Induction as Association Rule Mining. In NUSE. [pdf] [bibtex]
  7. Ryan Culkin, J. E. Hu, Elias Stengel-Eskin, Guanghui Qin, and Benjamin Van Durme. 2020. Iterative Paraphrastic Augmentation with Discriminative Span Alignment. In Transactions of the Association for Computational Linguistics. [pdf] [bibtex]
  8. Zhongyang Li, Xiao Ding, Ting Liu, J. E. Hu, and Benjamin Van Durme. 2020. Guided Generation of Cause and Effect. In International Joint Conference on Artificial Intelligence. [pdf] [bibtex]
  9. Nils Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme. 2020. A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. In NLLP@KDD. [pdf] [bibtex]
  10. Patrick Xia, João Sedoc, and Benjamin Van Durme. 2020. Incremental Neural Coreference Resolution in Constant Memory. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  11. Nathaniel Weir, Adam Poliak, and Benjamin Van Durme. 2020. Probing Neural Language Models for Human Tacit Assumptions. In Annual Meeting of the Cognitive Science Society. [pdf] [bibtex]
  12. Tongfei Chen, Yunmo Chen, and Benjamin Van Durme. 2020. Hierarchical Entity Typing via Multi-level Learning to Rank. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  13. Noah Weber, Rachel Rudinger, and Benjamin Van Durme. 2020. Causal Inference of Script Knowledge. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]

2019

  1. Yunmo Chen, Tongfei Chen, Seth Ebner, and Benjamin Van Durme. 2019. Reading the Manual: Event Extraction as Definition Comprehension. In SPNLP. [pdf] [bibtex]
  2. Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, and Jordan L. Boyd-Graber. 2019. Interactive Refinement of Cross-Lingual Word Embeddings. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  3. J. E. Hu, Abhinav Singh, Nils Holzenberger, Matt Post, and Benjamin Van Durme. 2019. Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. In Conference on Computational Natural Language Learning. [pdf] [bibtex]
  4. Seth Ebner, Felicity Wang, and Benjamin Van Durme. 2019. Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  5. Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme. 2019. Multi-Sentence Argument Linking. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  6. Elias Stengel-Eskin, A. White, Sheng Zhang, and Benjamin Van Durme. 2019. Universal Decompositional Semantic Parsing. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  7. Matthew Francis-Landau and Benjamin Van Durme. 2019. Exact and/or Fast Nearest Neighbors. In ArXiv. [pdf] [bibtex]
  8. Najoung Kim, Kyle Rawlins, Benjamin Van Durme, and Paul Smolensky. 2019. Predicting Argumenthood of English Preposition Phrases. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). [pdf] [bibtex]
  9. A. White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2019. The Universal Decompositional Semantics Dataset and Decomp Toolkit. In International Conference on Language Resources and Evaluation. [pdf] [bibtex]
  10. Tongfei Chen, Zhengping Jiang, Keisuke Sakaguchi, and Benjamin Van Durme. 2019. Uncertain Natural Language Inference. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  11. Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, and Benjamin Van Durme. 2019. A Discriminative Neural Model for Cross-Lingual Word Alignment. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  12. Sheng Zhang, Xutai Ma, Kevin Duh, and Benjamin Van Durme. 2019. Broad-Coverage Semantic Parsing as Transduction. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  13. Yonatan Belinkov, Adam Poliak, S. Shieber, Benjamin Van Durme, and Alexander M. Rush. 2019. On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. In International Workshop on Semantic Evaluation. [pdf] [bibtex]
  14. Yonatan Belinkov, Adam Poliak, S. Shieber, Benjamin Van Durme, and Alexander M. Rush. 2019. Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  15. J. E. Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, and Benjamin Van Durme. 2019. Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  16. Zhongyang Li, Tongfei Chen, and Benjamin Van Durme. 2019. Learning to Rank for Plausible Plausibility. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  17. Sheng Zhang, Xutai Ma, Kevin Duh, and Benjamin Van Durme. 2019. AMR Parsing as Sequence-to-Graph Transduction. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  18. Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, and Ellie Pavlick. 2019. What do you learn from context? Probing for sentence structure in contextualized word representations. In International Conference on Learning Representations. [pdf] [bibtex]
  19. 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, and Ellie Pavlick. 2019. Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. In International Workshop on Semantic Evaluation. [pdf] [bibtex]
  20. Siddharth Vashishtha, Benjamin Van Durme, and A. White. 2019. Fine-Grained Temporal Relation Extraction. In Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex]
  21. J. E. Hu, Rachel Rudinger, Matt Post, and Benjamin Van Durme. 2019. ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. In AAAI Conference on Artificial Intelligence. [pdf] [bibtex]
  22. Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, and A. White. 2019. Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. In Transactions of the Association for Computational Linguistics. [pdf] [bibtex]
  23. Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. E. Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, A. White, Kyle Rawlins, and Benjamin Van Durme. 2019. NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. In TAC. [pdf] [bibtex]

2018

  1. Alex Wang, Jan Hula, Patrick Xia, R. 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, and Samuel R. Bowman. 2018. Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. In ACL. [pdf] [bibtex]
  2. Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. E. Hu, Ellie Pavlick, Aaron Steven White, and Benjamin Van Durme. 2018. Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. In Conference on Empirical Methods in Natural Language Processing. [pdf] [bibtex]
  3. Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, and Benjamin Van Durme. 2018. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. In ArXiv. [pdf] [bibtex]
  4. Pushpendre Rastogi, Adam Poliak, V. Lyzinski, and Benjamin Van Durme. 2018. Neural variational entity set expansion for automatically populated knowledge graphs. In Information Retrieval Journal. [pdf] [bibtex]
  5. Najoung Kim, Kyle Rawlins, Benjamin Van Durme, and P. Smolensky. 2018. Predicting the Argumenthood of English Prepositional Phrases. In AAAI. [pdf] [bibtex]
  6. Yonatan Belinkov, Adam Poliak, S. Shieber, and Benjamin Van Durme. 2018. Mitigating Bias in Natural Language Inference Using Adversarial Learning. In Preprint. [pdf] [bibtex]
  7. Aaron Steven White, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2018. Lexicosyntactic Inference in Neural Models. In EMNLP. [pdf] [bibtex]
  8. Keisuke Sakaguchi and Benjamin Van Durme. 2018. Efficient Online Scalar Annotation with Bounded Support. In ACL. [pdf] [bibtex]
  9. Rashmi Sankepally, Tongfei Chen, Benjamin Van Durme, and D. Oard. 2018. A Test Collection for Coreferent Mention Retrieval. In SIGIR. [pdf] [bibtex]
  10. Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018. Hypothesis Only Baselines in Natural Language Inference. In *SEMEVAL. [pdf] [bibtex]
  11. Hongyuan Mei, Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2018. Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. In *SEMEVAL. [pdf] [bibtex]
  12. Adam Poliak, Yonatan Belinkov, James R. Glass, and Benjamin Van Durme. 2018. On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. In NAACL. [pdf] [bibtex]
  13. Rachel Rudinger, Aaron Steven White, and Benjamin Van Durme. 2018. Neural Models of Factuality. In NAACL. [pdf] [bibtex]
  14. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2018. Cross-lingual Semantic Parsing. In Technical Report 937, Department of Computer Science, University of Rochester. [pdf] [bibtex]
  15. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2018. Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. In *SEMEVAL. [pdf] [bibtex]
  16. Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018. Gender Bias in Coreference Resolution. In NAACL. [pdf] [bibtex]
  17. Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. E. Hu, Ellie Pavlick, A. White, and Benjamin Van Durme. 2018. Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. In ArXiv. [pdf] [bibtex]
  18. Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, and Benjamin Van Durme. 2018. Neural-Davidsonian Semantic Proto-role Labeling. In EMNLP. [pdf] [bibtex]
  19. Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, and Benjamin Van Durme. 2018. NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. In TAC. [pdf] [bibtex]
  20. Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2018. Cross-lingual Decompositional Semantic Parsing. In EMNLP. [pdf] [bibtex]
  21. T. Wolfe, Annabelle Carrell, Mark Dredze, and Benjamin Van Durme. 2018. Summarizing Entities using Distantly Supervised Information Extractors. In ProfS/KG4IR/Data:Search@SIGIR. [pdf] [bibtex]
  22. Michelle Yuan, Benjamin Van Durme, and Jordan L. Ying. 2018. Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. In Neural Information Processing Systems. [pdf] [bibtex]

2017

  1. Benjamin Van Durme, Thomas Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Timothy W. Finin, Scott Miller, J. Mayfield, Philipp Koehn, Craig Harman, Dawn J Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, et al. 2017. CADET: Computer Assisted Discovery Extraction and Translation. In IJCNLP. [pdf] [bibtex]
  2. Aaron Steven White, Pushpendre Rastogi, Kevin Duh, and Benjamin Van Durme. 2017. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. In IJCNLP. [pdf] [bibtex]
  3. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2017. Selective Decoding for Cross-lingual Open Information Extraction. In IJCNLP. [pdf] [bibtex]
  4. Nicholas Andrews, Mark Dredze, Benjamin Van Durme, and Jason Eisner. 2017. Bayesian Modeling of Lexical Resources for Low-Resource Settings. In ACL. [pdf] [bibtex]
  5. Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017. Grammatical Error Correction with Neural Reinforcement Learning. In IJCNLP. [pdf] [bibtex]
  6. Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017. Error-repair Dependency Parsing for Ungrammatical Texts. In ACL. [pdf] [bibtex]
  7. T. Wolfe, Mark Dredze, and Benjamin Van Durme. 2017. Pocket Knowledge Base Population. In ACL. [pdf] [bibtex]
  8. Francis Ferraro, Adam Poliak, Ryan Cotterell, and Benjamin Van Durme. 2017. Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. In *SEMEVAL. [pdf] [bibtex]
  9. Kevin Duh, Benjamin Van Durme, and Sheng Zhang. 2017. MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. In EACL. [pdf] [bibtex]
  10. Benjamin Van Durme and Tongfei Chen. 2017. Discriminative Information Retrieval for Question Answering Sentence Selection. In EACL. [pdf] [bibtex]
  11. Benjamin Van Durme, Pushpendre Rastogi, Adam Poliak, and M. Martin. 2017. Efficient, Compositional, Order-sensitive n-gram Embeddings. In EACL. [pdf] [bibtex]
  12. Rachel Rudinger, Chandler May, and Benjamin Van Durme. 2017. Social Bias in Elicited Natural Language Inferences. In EthNLP@EACL. [pdf] [bibtex]
  13. Jason Eisner, Benjamin Van Durme, Ryan Cotterell, and Adam Poliak. 2017. Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. In EACL. [pdf] [bibtex]
  14. Benjamin Van Durme, Aaron Steven White, and Kyle Rawlins. 2017. The Semantic Proto-Role Linking Model. In EACL. [pdf] [bibtex]
  15. Chandler May, Kevin Duh, Benjamin Van Durme, and Ashwin Lall. 2017. Streaming Word Embeddings with the Space-Saving Algorithm. In ArXiv. [pdf] [bibtex]
  16. Adam R. Teichert, Adam Poliak, Benjamin Van Durme, and Matthew R. Gormley. 2017. Semantic Proto-Role Labeling. In AAAI. [pdf] [bibtex]
  17. T. Wolfe, Mark Dredze, and Benjamin Van Durme. 2017. Feature Generation for Robust Semantic Role Labeling. In ArXiv. [pdf] [bibtex]
  18. Pushpendre Rastogi, Adam Poliak, and Benjamin Van Durme. 2017. Training Relation Embeddings under Logical Constraints. In KG4IR@SIGIR. [pdf] [bibtex]
  19. Pushpendre Rastogi and Benjamin Van Durme. 2017. Predicting Asymmetric Transitive Relations in Knowledge Bases. In KG4IR@SIGIR. [pdf] [bibtex]
  20. 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, A. See, Kai Sun, Max Thomas, Chen-Tse Tsai, et al. 2017. TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. In TAC. [pdf] [bibtex]
  21. Sheng Zhang, Rachel Rudinger, and Benjamin Van Durme. 2017. An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. In IWCS. [pdf] [bibtex]
  22. Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2017. Skip-Prop: Representing Sentences with One Vector Per Proposition. In IWCS. [pdf] [bibtex]

2016

  1. Sheng Zhang, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2016. Ordinal Common-sense Inference. In TACL. [pdf] [bibtex]
  2. Aaron Steven White, D. Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2016. Universal Decompositional Semantics on Universal Dependencies. In EMNLP. [pdf] [bibtex]
  3. Thomas Lippincott and Benjamin Van Durme. 2016. Fluency detection on communication networks. In EMNLP. [pdf] [bibtex]
  4. T. Wolfe, Mark Dredze, and Benjamin Van Durme. 2016. A Study of Imitation Learning Methods for Semantic Role Labeling. In SPNLP@EMNLP. [pdf] [bibtex]
  5. Svitlana Volkova, I. Chetviorkin, Dustin L. Arendt, and Benjamin Van Durme. 2016. Contrasting Public Opinion Dynamics and Emotional Response During Crisis. In SocInfo. [pdf] [bibtex]
  6. Tongfei Chen and Benjamin Van Durme. 2016. Discriminative Information Retrieval for Knowledge Discovery. In ArXiv. [pdf] [bibtex]
  7. A. White, D. Reisinger, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2016. Computational linking theory. In ArXiv. [pdf] [bibtex]
  8. Keisuke Sakaguchi, Kevin Duh, Matt Post, and Benjamin Van Durme. 2016. Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. In AAAI. [pdf] [bibtex]
  9. Chandler May, Ryan Cotterell, and Benjamin Van Durme. 2016. An Analysis of Lemmatization on Topic Models of Morphologically Rich Language. In arXiv: Computation and Language. [pdf] [bibtex]
  10. Pushpendre Rastogi and Benjamin Van Durme. 2016. A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations. In ArXiv. [pdf] [bibtex]
  11. Svitlana Volkova, Yoram Bachrach, and Benjamin Van Durme. 2016. Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. In 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService). [pdf] [bibtex]
  12. Francis Ferraro and Benjamin Van Durme. 2016. A Unified Bayesian Model of Scripts, Frames and Language. In AAAI. [pdf] [bibtex]
  13. R. Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, W. Dolan, Kristina Toutanova, and Margaret Mitchell. 2016. Microsummarization of Online Reviews: An Experimental Study. In AAAI. [pdf] [bibtex]

2015

  1. Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, and Benjamin Van Durme. 2015. Script Induction as Language Modeling. In EMNLP. [pdf] [bibtex]
  2. Chandler May, Francis Ferraro, A. McCree, Jonathan Wintrode, D. Garcia-Romero, and Benjamin Van Durme. 2015. Topic Identification and Discovery on Text and Speech. In EMNLP. [pdf] [bibtex]
  3. Pushpendre Rastogi and Benjamin Van Durme. 2015. Sublinear Partition Estimation. In ArXiv. [pdf] [bibtex]
  4. D. Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, and Benjamin Van Durme. 2015. Semantic Proto-Roles. In TACL. [pdf] [bibtex]
  5. Ellie Pavlick, Johan Bos, M. Nissim, Charley Beller, Benjamin Van Durme, and Chris Callison-Burch. 2015. Adding Semantics to Data-Driven Paraphrasing. In ACL. [pdf] [bibtex]
  6. Ellie Pavlick, Juri Ganitkevitch, Tsz Ping Chan, Xuchen Yao, Benjamin Van Durme, and Chris Callison-Burch. 2015. Domain-Specific Paraphrase Extraction. In ACL. [pdf] [bibtex]
  7. Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015. PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. In ACL. [pdf] [bibtex]
  8. Ellie Pavlick, T. Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, and Benjamin Van Durme. 2015. FrameNet+: Fast Paraphrastic Tripling of FrameNet. In ACL. [pdf] [bibtex]
  9. Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, T. Wolfe, Craig Harman, Benjamin Van Durme, and Mark Dredze. 2015. A Concrete Chinese NLP Pipeline. In NAACL. [pdf] [bibtex]
  10. Rachel Rudinger, V. Demberg, Ashutosh Modi, Benjamin Van Durme, and Manfred Pinkal. 2015. Learning to predict script events from domain-specific text. In *SEMEVAL. [pdf] [bibtex]
  11. T. Wolfe, Mark Dredze, J. Mayfield, P. McNamee, Craig Harman, Timothy W. Finin, and Benjamin Van Durme. 2015. Interactive Knowledge Base Population. In ArXiv. [pdf] [bibtex]
  12. Keith Levin, A. Jansen, and Benjamin Van Durme. 2015. Segmental acoustic indexing for zero resource keyword search. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [pdf] [bibtex]
  13. Pushpendre Rastogi, Benjamin Van Durme, and R. Arora. 2015. Multiview LSA: Representation Learning via Generalized CCA. In NAACL. [pdf] [bibtex]
  14. Svitlana Volkova and Benjamin Van Durme. 2015. Online Bayesian Models for Personal Analytics in Social Media. In AAAI. [pdf] [bibtex]
  15. Svitlana Volkova, Benjamin Van Durme, David Yarowsky, and Yoram Bachrach. 2015. Social Media Predictive Analytics. In NAACL. [pdf] [bibtex]
  16. Ellie Pavlick, Johan Bos, M. Nissim, Charley Beller, Benjamin Van Durme, and Chris Callison-Burch. 2015. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015). In The Association for Computational Linguistics. [pdf] [bibtex]
  17. T. Wolfe, Mark Dredze, and Benjamin Van Durme. 2015. Predicate Argument Alignment using a Global Coherence Model. In NAACL. [pdf] [bibtex]

2014

  1. Charley Beller, Craig Harman, and Benjamin Van Durme. 2014. Predicting Fine-grained Social Roles with Selectional Preferences. In LTCSS@ACL. [pdf] [bibtex]
  2. Charley Beller, R. Knowles, Craig Harman, S. Bergsma, Margaret Mitchell, and Benjamin Van Durme. 2014. I’m a Belieber: Social Roles via Self-identification and Conceptual Attributes. In ACL. [pdf] [bibtex]
  3. Xuchen Yao and Benjamin Van Durme. 2014. Information Extraction over Structured Data: Question Answering with Freebase. In ACL. [pdf] [bibtex]
  4. Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2014. Efficient Elicitation of Annotations for Human Evaluation of Machine Translation. In WMT@ACL. [pdf] [bibtex]
  5. Svitlana Volkova, Glen A. Coppersmith, and Benjamin Van Durme. 2014. Inferring User Political Preferences from Streaming Communications. In ACL. [pdf] [bibtex]
  6. Jacqueline Aguilar, Charley Beller, P. McNamee, Benjamin Van Durme, S. Strassel, Zhiyi Song, and J. Ellis. 2014. A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards. In EVENTS@ACL. [pdf] [bibtex]
  7. Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, and Mark Dredze. 2014. Low-Resource Semantic Role Labeling. In ACL. [pdf] [bibtex]
  8. Chandler May, Alex Clemmer, and Benjamin Van Durme. 2014. Particle Filter Rejuvenation and Latent Dirichlet Allocation. In ACL. [pdf] [bibtex]
  9. Xuchen Yao, Jonathan Berant, and Benjamin Van Durme. 2014. Freebase QA: Information Extraction or Semantic Parsing? In ACL 2014. [pdf] [bibtex]
  10. M. Osborne, Ashwin Lall, and Benjamin Van Durme. 2014. Exponential Reservoir Sampling for Streaming Language Models. In ACL. [pdf] [bibtex]
  11. Rachel Rudinger and Benjamin Van Durme. 2014. Is the Stanford Dependency Representation Semantic? In EVENTS@ACL. [pdf] [bibtex]
  12. Pushpendre Rastogi and Benjamin Van Durme. 2014. Augmenting FrameNet Via PPDB. In EVENTS@ACL. [pdf] [bibtex]
  13. Alex B. Fine, A. F. Frank, T. Jaeger, and Benjamin Van Durme. 2014. Biases in Predicting the Human Language Model. In ACL. [pdf] [bibtex]
  14. Jennifer Drexler, Pushpendre Rastogi, Jacqueline Aguilar, Benjamin Van Durme, and Matt Post. 2014. A Wikipedia-based Corpus for Contextualized Machine Translation. In LREC. [pdf] [bibtex]
  15. Adrian Benton, Jay DeYoung, Adam R. Teichert, Stephen Mayhew, Mark Dredze, Benjamin Van Durme, and Max Thomas. 2014. Faster (and Better) Entity Linking with Cascades. In NIPS Workshop on Automated Knowledge Base Construction (ABKC). [pdf] [bibtex]
  16. Francis Ferraro, Max Thomas, Matthew R. Gormley, T. Wolfe, Craig Harman, and Benjamin Van Durme. 2014. Concretely Annotated Corpora. In Preprint. [pdf] [bibtex]

2013

  1. Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, and Peter Clark. 2013. Semi-Markov Phrase-Based Monolingual Alignment. In EMNLP. [pdf] [bibtex]
  2. Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, and Benjamin Van Durme. 2013. Open Domain Targeted Sentiment. In EMNLP. [pdf] [bibtex]
  3. Jonathan Gordon and Benjamin Van Durme. 2013. Reporting bias and knowledge acquisition. In AKBC ’13. [pdf] [bibtex]
  4. T. Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, and Xuchen Yao. 2013. PARMA: A Predicate Argument Aligner. In ACL. [pdf] [bibtex]
  5. Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, and Peter Clark. 2013. A Lightweight and High Performance Monolingual Word Aligner. In ACL. [pdf] [bibtex]
  6. S. Bergsma and Benjamin Van Durme. 2013. Using Conceptual Class Attributes to Characterize Social Media Users. In ACL. [pdf] [bibtex]
  7. Xuchen Yao, Benjamin Van Durme, and Peter Clark. 2013. Automatic Coupling of Answer Extraction and Information Retrieval. In ACL. [pdf] [bibtex]
  8. Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, and Peter Clark. 2013. Answer Extraction as Sequence Tagging with Tree Edit Distance. In NAACL. [pdf] [bibtex]
  9. Jonathan Gordon and Benjamin Van Durme. 2013. Reporting Bias and Knowledge Extraction. In Preprint. [pdf] [bibtex]
  10. S. Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, and David Yarowsky. 2013. Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. In NAACL. [pdf] [bibtex]
  11. Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013. PPDB: The Paraphrase Database. In NAACL. [pdf] [bibtex]
  12. Francis Ferraro, Benjamin Van Durme, and Yanif Ahmad. 2013. Evaluating Progress in Probabilistic Programming through Topic Models. In Preprint. [pdf] [bibtex]
  13. David Etter, Francis Ferraro, Ryan Cotterell, Olivia Buzek, and Benjamin Van Durme. 2013. Nerit: Named Entity Recognition for Informal Text. In Human Language Technology Center of Excellence, Johns Hopkins, vol. Technical Report 11 (2013). [pdf] [bibtex]

2012

  1. Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, B. Dorr, Lori S. Levin, C. Piatko, Owen Rambow, and Benjamin Van Durme. 2012. Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. In ExProM@ACL. [pdf] [bibtex]
  2. Benjamin Van Durme. 2012. Streaming Analysis of Discourse Participants. In EMNLP-CoNLL. [pdf] [bibtex]
  3. Francis Ferraro, Benjamin Van Durme, and Matt Post. 2012. Toward Tree Substitution Grammars with Latent Annotations. In HLT-NAACL 2012. [pdf] [bibtex]
  4. Francis Ferraro, Matt Post, and Benjamin Van Durme. 2012. Judging Grammaticality with Count-Induced Tree Substitution Grammars. In BEA@NAACL-HLT. [pdf] [bibtex]
  5. Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2012. Monolingual Distributional Similarity for Text-to-Text Generation. In *SEMEVAL. [pdf] [bibtex]
  6. Courtney Napoles, Matthew R. Gormley, and Benjamin Van Durme. 2012. Annotated Gigaword. In AKBC-WEKEX@NAACL-HLT. [pdf] [bibtex]
  7. Brian Kjersten and Benjamin Van Durme. 2012. Space Efficiencies in Discourse Modeling via Conditional Random Sampling. In NAACL. [pdf] [bibtex]
  8. Xuchen Yao, Benjamin Van Durme, and Chris Callison-Burch. 2012. Expectations of Word Sense in Parallel Corpora. In NAACL. [pdf] [bibtex]
  9. Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, and Jason Eisner. 2012. Shared Components Topic Models. In NAACL. [pdf] [bibtex]
  10. Benjamin Van Durme. 2012. Jerboa: A Toolkit for Randomized and Streaming Algorithms. In Technical Report 7, Human Language Technology Center of Excellence. [pdf] [bibtex]
  11. A. Jansen, Benjamin Van Durme, and P. Clark. 2012. The JHU-HLTCOE Spoken Web Search System for MediaEval 2012. In MediaEval. [pdf] [bibtex]
  12. A. Jansen and Benjamin Van Durme. 2012. Indexing Raw Acoustic Features for Scalable Zero Resource Search. In INTERSPEECH. [pdf] [bibtex]

2011

  1. A. Jansen and Benjamin Van Durme. 2011. Efficient spoken term discovery using randomized algorithms. In 2011 IEEE Workshop on Automatic Speech Recognition & Understanding. [pdf] [bibtex]
  2. Tsz Ping Chan, Chris Callison-Burch, and Benjamin Van Durme. 2011. Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity. In GEMS. [pdf] [bibtex]
  3. Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, and Benjamin Van Durme. 2011. Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. In EMNLP. [pdf] [bibtex]
  4. Shane Bergsma and Benjamin Van Durme. 2011. Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images. In International Joint Conference on Artificial Intelligence. [pdf] [bibtex]
  5. Courtney Napoles, Chris Callison-Burch, Juri Ganitkevitch, and Benjamin Van Durme. 2011. Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. In Monolingual@ACL. [pdf] [bibtex]
  6. Courtney Napoles, Benjamin Van Durme, and Chris Callison-Burch. 2011. Evaluating Sentence Compression: Pitfalls and Suggested Remedies. In Monolingual@ACL. [pdf] [bibtex]
  7. Benjamin Van Durme and Ashwin Lall. 2011. Efficient Online Locality Sensitive Hashing via Reservoir Counting. In ACL. [pdf] [bibtex]
  8. Byung-Gyu Ahn, Benjamin Van Durme, and Chris Callison-Burch. 2011. WikiTopics: What is Popular on Wikipedia and Why. In Proceedings of the Workshop on Monolingual Text-To-Text Generation. [pdf] [bibtex]
  9. Xuchen Yao and Benjamin Van Durme. 2011. Nonparametric Bayesian Word Sense Induction. In Graph-based Methods for Natural Language Processing. [pdf] [bibtex]
  10. R. Azevedo, Gautam Biswas, D. Bohus, Ted Carmichael, Mark A. Finlayson, M. Hadzikadic, Catherine Havasi, E. Horvitz, T. Kanda, O. Koyejo, W. Lawless, D. Lenat, Felipe Meneguzzi, Bilge Mutlu, Jean Oh, R. Pirrone, Antoine Raux, D. Sofge, G. Sukthankar, et al. 2011. Reports of the AAAI 2010 Fall Symposia. In AI Mag. [pdf] [bibtex]
  11. Katja Filippova, Stephen Wan, Csiro, A. Belz, Michel Galley, Microsoft Kevin Knight, E. Marsi, K. McKeown, Ryan T. McDonald, Cécile Google, Michael Paris, Strube, David M. Zajic, Noah Smith, Houda Bouamor, Aurélien Max, Gabriel Illouz, Anne, Stefan Bott, et al. 2011. Web-based validation for contextual targeted paraphrasing. In Proceedings of the Workshop on Monolingual Text-To-Text Generation. [pdf] [bibtex]
  12. Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, and Jason Eisner. 2011. Shared Components Topic Models with Application to Selectional Preference. In NIPS Workshop on Learning Semantics. [pdf] [bibtex]

2010

  1. Lenhart K. Schubert, Benjamin Van Durme, and Marzieh Bazrafshan. 2010. Entailment Inference in a Natural Logic-like General Reasoner. In AAAI Fall Symposium: Commonsense Knowledge. [pdf] [bibtex]
  2. Benjamin Van Durme and Ashwin Lall. 2010. Online Generation of Locality Sensitive Hash Signatures. In ACL. [pdf] [bibtex]
  3. Jonathan Gordon, Benjamin Van Durme, and Lenhart K. Schubert. 2010. Evaluation of Commonsense Knowledge with Mechanical Turk. In Mturk@HLT-NAACL. [pdf] [bibtex]
  4. Diego Marcheggiani, Michael Roth, Ivan Titov, and Benjamin Van Durme. 2010. Semantic Role Labeling. In North American Chapter of the Association for Computational Linguistics. [pdf] [bibtex]
  5. Jonathan Gordon, Benjamin Van Durme, and Lenhart K. Schubert. 2010. Learning from the Web: Extracting General World Knowledge from Noisy Text. In Collaboratively-Built Knowledge Sources and AI. [pdf] [bibtex]
  6. Catherine Havasi, Douglas B. Lenat, and Benjamin Van Durme. 2010. Preface. In AAAI Fall Symposium: Commonsense Knowledge. [pdf] [bibtex]

2009

  1. Benjamin Van Durme and Ashwin Lall. 2009. Streaming Pointwise Mutual Information. In NIPS. [pdf] [bibtex]
  2. Jonathan Gordon, Benjamin Van Durme, and Lenhart K. Schubert. 2009. Weblogs as a source for extracting general world knowledge. In K-CAP ’09. [pdf] [bibtex]
  3. Benjamin Van Durme and Ashwin Lall. 2009. Probabilistic Counting with Randomized Storage. In IJCAI. [pdf] [bibtex]
  4. Benjamin Van Durme and D. Gildea. 2009. Topic Models for Corpus-centric Knowledge Generalization. In Technical Report TR-946, Department of Computer Science, University of Rochester. [pdf] [bibtex]
  5. Ting Qian, Benjamin Van Durme, and Lenhart K. Schubert. 2009. Building a Semantic Lexicon of English Nouns via Bootstrapping. In NAACL. [pdf] [bibtex]
  6. Benjamin Van Durme, Phillip Michalak, and Lenhart K. Schubert. 2009. Deriving Generalized Knowledge from Corpora Using WordNet Abstraction. In EACL. [pdf] [bibtex]
  7. Benjamin Van Durme and Ashwin Lall. 2009. Probabilistic Counting as an Extension to Randomized Count Storage. In Technical Report 942, Department of Computer Science, University of Rochester. [pdf] [bibtex]

2008

  1. Benjamin Van Durme and Lenhart K. Schubert. 2008. Open Knowledge Extraction through Compositional Language Processing. In STEP. [pdf] [bibtex]
  2. Benjamin Van Durme, Ting Qian, and Lenhart K. Schubert. 2008. Class-Driven Attribute Extraction. In COLING. [pdf] [bibtex]
  3. Benjamin Van Durme and Marius Pasca. 2008. Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction. In AAAI. [pdf] [bibtex]
  4. Dekang Lin, Shaojun Zhao, Benjamin Van Durme, and Marius Pasca. 2008. Mining Parenthetical Translations from the Web by Word Alignment. In ACL. [pdf] [bibtex]
  5. Marius Pasca and Benjamin Van Durme. 2008. Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. In ACL. [pdf] [bibtex]
  6. Benjamin Van Durme, Phillip Michalak, and Lenhart K. Schubert. 2008. Deriving Generic Statements using Corpus Acquired Knowledge and WordNet. In Technical Report 940, Department of Computer Science, University of Rochester. [pdf] [bibtex]
  7. Benjamin Van Durme, Phillip Michalak, and Lenhart K. Schubert. 2008. Notes on the Acquisition of Conditional Knowledge. In Technical Report 937, Department of Computer Science, University of Rochester. [pdf] [bibtex]

2007

  1. Marius Pasca, Benjamin Van Durme, and Nikesh Garera. 2007. The role of documents vs. queries in extracting class attributes from text. In International Conference on Information and Knowledge Management. [pdf] [bibtex]
  2. Marius Pasca and Benjamin Van Durme. 2007. What You Seek Is What You Get: Extraction of Class Attributes from Query Logs. In IJCAI. [pdf] [bibtex]

2004

  1. Anna Kupsc, T. Mitamura, Benjamin Van Durme, and Eric Nyberg. 2004. Pronominal Anaphora Resolution for Unrestricted Text. In LREC. [pdf] [bibtex]

2003

  1. Benjamin Van Durme, Yifen Huang, Anna Kupsc, and Eric Nyberg. 2003. Towards light semantic processing for question answering. In HLT-NAACL 2003. [pdf] [bibtex]
  2. Eric Nyberg, T. Mitamura, Jamie Callan, J. Carbonell, R. Frederking, Kevyn Collins-Thompson, L. Hiyakumoto, Yifen Huang, C. Huttenhower, S. Judy, Jeongwoo Ko, Anna Kupsc, L. Lita, V. Pedro, David Svoboda, and Benjamin Van Durme. 2003. The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. In Text Retrieval Conference. [pdf] [bibtex]