Publications

Books

Steven Bethard, Daniel Jurafsky, and James H. Martin. Instructor's Solution Manual for Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (Second Edition). Prentice Hall, 2008.

Philipp Wetzler, Steven Bethard, Heather Leary, Kirsten Butcher, Soheil Danesh Bahreini, Jin Zhao, James Martin, and Tamara Sumner (accepted). Characterizing and Predicting the Multi-faceted Nature of Quality in Educational Web Resources. In: Transactions on Interactive Intelligent Systems.

Michael Levin, Stefan Krawczyk, Steven Bethard, and Dan Jurafsky (May 2012). Citation-based bootstrapping for large-scale author disambiguation. In: Journal of the American Society for Information Science and Technology 63.5, pp. 1030–1047.

Steven Bethard, Zhiyong Lu, James H. Martin, and Lawrence Hunter (Jun 2008). Semantic Role Labeling for Protein Transport Predicates. In: BMC Bioinformatics 9.1, p. 277.

Steven Bethard, James H. Martin, and Sara Klingenstein (Dec 2007). Finding Temporal Structure in Text: Machine Learning of Syntactic Temporal Relations. In: International Journal of Semantic Computing (IJSC) 1.4, pp. 441– 458. [Data]

Book Chapters

Steven Bethard, Hong Yu, Ashley Thornton, Vasileios Hatzivassiloglou, and Dan Jurafsky. Extracting opinion propositions and opinion holders using syntactic and lexical cues. In James G. Shanahan, Yan Qu, and Janyce Wiebe, editors, Computing Attitude and Affect in Text: Theory and Applications. Springer, 2005. [Data]

Conference Papers

Oleksandr Kolomiyets, Steven Bethard, and Marie-Francine Moens. Extracting Narrative Timelines as Temporal Dependency Structures. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012. [Data]

Steven Bethard, Oleksandr Kolomiyets, and Marie-Francine Moens. Annotating Story Timelines as Temporal Dependency Structures. In Language Resources and Evaluation Conference (LREC), 2012. [Data]

Bram Jans, Steven Bethard, Ivan Vulić, and Marie-Francine Moens. Skip N-grams and Ranking Functions for Predicting Script Events.. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, 2012.

Oleksandr Kolomiyets, Steven Bethard, and Marie-Francine Moens. Model-portability experiments for textual temporal analysis.. In Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011.

Andrey Gusev, Nathanael Chambers, Divye Raj Khilnani, Pranav Khaitan, Steven Bethard, and Dan Jurafsky. Using query patterns to learn the duration of events.. In International Conference on Computational Semantics, 2011.

Steven Bethard and Dan Jurafsky. Who should I cite? Learning literature search models from citation behavior. In ACM Conference on Information and Knowledge Management, 2010.

Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, and Celine Fabry. How good are humans at solving CAPTCHAs? A large scale evaluation . In IEEE Symposium on Security and Privacy, 2010.

Steven Bethard, Philipp Wetzler, Kirsten Butcher, James H. Martin, and Tamara Sumner. Automatically characterizing resource quality for educational digital libraries. In Joint Conference on Digital Libraries, 2009. Best paper award.

Steven Bethard, Soumya Ghosh, James H. Martin, and Tamara Sumner. Topic model methods for automatically identifying Out-of-Scope resources . In Joint Conference on Digital Libraries, 2009.

Guergana Savova, Steven Bethard, Will Styler, James H. Martin, Martha Palmer, James Masanz, and Wayne Ward. Towards temporal relation discovery from the clinical narrative. In American Medical Informatics Association, 2009.

Steven Bethard and James H. Martin. Learning semantic links from a corpus of parallel temporal and causal relations. In Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT), 2008. [Data]

Steven Bethard, William Corvey, Sara Klingenstein, and James H. Martin. Building a corpus of temporal-causal structure. In Language Resources and Evaluation Conference (LREC), 2008. [Data]

Steven Bethard, James H. Martin, and Sara Klingenstein. Timelines from text: Identification of syntactic temporal relations. In International Conference on Semantic Computing (ICSC), 2007. [Data]

Steven Bethard and James H. Martin. Identification of event mentions and their semantic class. In Empirical Methods in Natural Language Processing (EMNLP), 2006.

Sameer S. Pradhan, Gabriel Illouz, Sasha J. Blair-Goldensohn, Andrew Hazen Schlaikjer, Valerie Krugler, Elena Filatova, Pablo A. Duboue, Hong Yu, Rebecca J. Passonneau, Steven Bethard, Vasileios Hatzivassiloglou, Wayne Ward, Dan Jurafsky, Kathleen R. McKeown, and James H. Martin. Building a foundation system for producing short answers to factual questions. In Text REtrieval Conference (TREC), 2002.

Conference Talks

Vicky Tzuyin Lai and Steven Bethard. Early ERP effects of the metaphorical profile of a word. 7th Mental Lexicon Conference, 2010.

Steven Bethard, Ifeyinwa Okoye, Md. Arafat Sultan, Haojie Hang, James H. Martin, and Tamara Sumner. Identifying science concepts and student misconceptions in an interactive essay writing tutor. In Proceedings of the Seventh Workshop on Innovative Use of NLP for Building Educational Applications, 2012.

Robert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, and Harry Tily. Crowdsourcing and language studies: the new generation of linguistic data. In NAACL Workshop on Creating Speech and Language Data With Amazon's Mechanical Turk, 2010.

Steven Bethard, Vicky Tzuyin Lai, and James H Martin. Topic model analysis of metaphor frequency for psycholinguistic stimuli. In NAACL Workshop on Computational Approaches to Linguistic Creativity, 2009.

Elie Bursztein and Steven Bethard. Decaptcha: Breaking 75% of eBay audio CAPTCHAs. In 3rd USENIX Workshop on Offensive Technologies, 2009.

Philipp G Wetzler, Steven Bethard, Kirsten Butcher, James H Martin, and Tamara Sumner. Automatically assessing resource quality for educational digital libraries. In WICOW '09: Proceedings of the 3rd workshop on Information credibility on the web, 2009.

Philip V. Ogren, Philipp G. Wetzler, and Steven J. Bethard. ClearTK: a framework for statistical natural language processing. In Unstructured Information Management Architecture Workshop at the Conference of the German Society for Computational Linguistics and Language Technology, 2009. [Download ClearTK]

Philip Ogren and Steven Bethard. Building test suites for UIMA components. In NAACL Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing (SETQA-NLP 2009), 2009. [Download uimaFIT]

Philip V. Ogren, Philipp G. Wetzler, and Steven J. Bethard. ClearTK: A UIMA toolkit for statistical natural language processing. In UIMA for NLP workshop at Language Resources and Evaluation Conference (LREC), 2008. [Download ClearTK]

Steven Bethard and James H. Martin. CU-TMP: Temporal relation classification using syntactic and semantic features. In Fourth International Workshop on Semantic Evaluations (SemEval-2007), 2007.

Steven Bethard, Rodney Nielsen, James H. Martin, Wayne Ward, and Martha Palmer. Semantic integration in learning from text. In AAAI Spring Symposium on Machine Reading, 2007.

Steven Bethard, Hong Yu, Ashley Thornton, Vasileios Hatzivassiloglou, and Dan Jurafsky. Automatic extraction of opinion propositions and their holders In AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications, 2004. [Data]

Technical Reports

Kathy Baker, Steven Bethard, Michael Bloodgood, Ralf Brown, Chris Callison-Burch, Glen Coppersmith, Bonnie Dorr, Wes Filardo, Kendall Giles, Anni Irvine, Mike Kayser, Lori Levin, Justin Martineau, Jim Mayfield, Scott Miller, Aaron Phillips, Andrew Philpot, Christine Piatko, Lane Schwartz, and David Zajic. Semantically informed machine translation (SIMT). Technical report, Johns Hopkins University Human Language Technology Center of Excellence, 2010.

Ph.D. Thesis

Steven Bethard. Finding Event, Temporal and Causal Structure in Text: A Machine Learning Approach. PhD thesis, University of Colorado at Boulder, December 2007.