| 2025 | EMNLP | Transformer-Based Temporal Information Extraction and Application: A Review. | Xin Su, Phillip Howard, Steven Bethard |
| 2024 | NAACL | Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. | Xin Su, Tiep Le, Steven Bethard, Phillip Howard |
| 2024 | NAACL | Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries. | Zeyu Zhang, Egoitz Laparra, Steven Bethard |
| 2023 | ACL | Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. | Lijing Wang, Yingya Li, Timothy Miller, Steven Bethard, Guergana Savova |
| 2023 | EMNLP | Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. | Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard |
| 2022 | ACL | A Comparison of Strategies for Source-Free Domain Adaptation. | Xin Su, Yiyun Zhao, Steven Bethard |
| 2021 | CoNLL | Do pretrained transformers infer telicity like humans? | Yiyun Zhao, Jian Gang Ngui, Lucy Hall Hartley, Steven Bethard |
| 2021 | NAACL | Explainable Multi-hop Verbal Reasoning Through Internal Monologue. | Zhengzhong Liang, Steven Bethard, Mihai Surdeanu |
| 2021 | NAACL | If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2020 | ACL | A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization. | Dongfang Xu, Zeyu Zhang, Steven Bethard |
| 2020 | ACL | Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2020 | ACL | How does BERT's attention change when you fine-tune? An analysis methodology and a case study in negation scope. | Yiyun Zhao, Steven Bethard |
| 2020 | COLING | A Dataset and Evaluation Framework for Complex Geographical Description Parsing. | Egoitz Laparra, Steven Bethard |
| 2020 | SIGIR | Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2019 | EMNLP | Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2019 | NAACL | Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. | Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escrcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu |
| 2019 | NAACL | Alignment over Heterogeneous Embeddings for Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2018 | COLING | A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. | Vikas Yadav, Steven Bethard |
| 2018 | WSDM | Measuring the Latency of Depression Detection in Social Media. | Farig Sadeque, Dongfang Xu, Steven Bethard |
| 2017 | AIME | Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. | Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova |
| 2017 | EACL | Neural Temporal Relation Extraction. | Dmitriy Dligach, Timothy Miller, Chen Lin, Steven Bethard, Guergana Savova |
| 2017 | IJCNLP | Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments. | Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens |
| 2017 | IRI | Infusing Latent User-Concerns from User Reviews into Collaborative Filtering. | Ligaj Pradhan, Chengcui Zhang, Steven Bethard |
| 2016 | ACL | Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. | Upendra Sapkota, Thamar Solorio, Manuel Montes-y-Gmez, Steven Bethard |
| 2016 | AMIA | Feature Portability in Cross-domain Clinical Coreference. | Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova |
| 2016 | COLING | Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training. | Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens |
| 2016 | IRI | Towards Extracting Coherent User Concerns and Their Hierarchical Organization from User Reviews. | Ligaj Pradhan, Chengcui Zhang, Steven Bethard |
| 2016 | LREC | A Semantically Compositional Annotation Scheme for Time Normalization. | Steven Bethard, Jonathan Parker |
| 2016 | LREC | Age and Gender Prediction on Health Forum Data. | Prasha Shrestha, Nicolas Rey-Villamizar, Farig Sadeque, Ted Pedersen, Steven Bethard, Thamar Solorio |
| 2016 | NAACL | Semi-supervised CLPsych 2016 Shared Task System Submission. | Nicolas Rey-Villamizar, Prasha Shrestha, Thamar Solorio, Farig Sadeque, Steven Bethard, Ted Pedersen |
| 2015 | EMNLP | Adapting Coreference Resolution for Narrative Processing. | Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens |
| 2015 | EMNLP | Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment. | Md. Arafat Sultan, Steven Bethard, Tamara Sumner |
| 2015 | NAACL | Not All Character N-grams Are Created Equal: A Study in Authorship Attribution. | Upendra Sapkota, Steven Bethard, Manuel Montes-y-Gmez, Thamar Solorio |
| 2014 | ACL | An Annotation Framework for Dense Event Ordering. | Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard |
| 2014 | ACL | Descending-Path Convolution Kernel for Syntactic Structures. | Chen Lin, Timothy Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova |
| 2014 | ACL | The Stanford CoreNLP Natural Language Processing Toolkit. | Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, David McClosky |
| 2014 | CHI | Easy does it: more usable CAPTCHAs. | Elie Bursztein, Angelique Moscicki, Celine Fabry, Steven Bethard, John C. Mitchell, Dan Jurafsky |
| 2014 | COLING | Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help? | Upendra Sapkota, Thamar Solorio, Manuel Montes-y-Gmez, Steven Bethard, Paolo Rosso |
| 2014 | LREC | ClearTK 2.0: Design Patterns for Machine Learning in UIMA. | Steven Bethard, Philip V. Ogren, Lee Becker |
| 2014 | MIS4TEL | Identifying Weak Sentences in Student Drafts: A Tutoring System. | Samuel Gonzlez Lpez, Steven Bethard, Aurelio Lpez-Lpez |
| 2013 | AMIA | Discovering Time Expressions in Clinical Text. | Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova |
| 2013 | EMNLP | A Synchronous Context Free Grammar for Time Normalization. | Steven Bethard |
| 2012 | ACL | Extracting Narrative Timelines as Temporal Dependency Structures. | Oleksandr Kolomiyets, Steven Bethard, Marie-Francine Moens |
| 2012 | EACL | Skip N-grams and Ranking Functions for Predicting Script Events. | Bram Jans, Steven Bethard, Ivan Vulic, Marie-Francine Moens |
| 2012 | LREC | Annotating Story Timelines as Temporal Dependency Structures. | Steven Bethard, Oleksandr Kolomiyets, Marie-Francine Moens |
| 2011 | ACL | Model-Portability Experiments for Textual Temporal Analysis. | Oleksandr Kolomiyets, Steven Bethard, Marie-Francine Moens |
| 2010 | CIKM | Who should I cite: learning literature search models from citation behavior. | Steven Bethard, Dan Jurafsky |
| 2010 | NAACL | Crowdsourcing and language studies: the new generation of linguistic data. | Robert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, Harry J. Tily |
| 2010 | SP | How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation. | Elie Bursztein, Steven Bethard, Celine Fabry, John C. Mitchell, Daniel Jurafsky |
| 2009 | AMIA | Towards Temporal Relation Discovery from the Clinical Narrative. | Guergana Savova, Steven Bethard, William F. Styler IV, James H. Martin, Martha Palmer, James J. Masanz, Wayne H. Ward |
| 2009 | WWW | Automatically assessing resource quality for educational digital libraries. | Philipp G. Wetzler, Steven Bethard, Kirsten R. Butcher, James H. Martin, Tamara Sumner |
| 2008 | ACL | Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations. | Steven Bethard, James H. Martin |
| 2008 | LREC | Building a Corpus of Temporal-Causal Structure. | Steven Bethard, William J. Corvey, Sara Klingenstein, James H. Martin |
| 2006 | EMNLP | Identification of Event Mentions and their Semantic Class. | Steven Bethard, James H. Martin |