Steven Bethard, Ph.D.
Affiliations: | 2013-2016 | Computer and Information Science | University of Alabama, Birmingham, Birmingham, AL, United States |
2016- | School of Information | University of Arizona, Tucson, AZ |
Area:
Natural Language Processing, Computational Linguistics, Machine LearningWebsite:
http://bethard.faculty.arizona.edu/Google:
"Steven Bethard"Parents
Sign in to add mentorJames H. Martin | grad student | 2007 | CU Boulder | |
(Finding event, temporal and causal structure in text: A machine learning approach.) | ||||
Tamara R. Sumner | post-doc | 2008-2008 | CU Boulder (EduTree) | |
Dan Jurafsky | post-doc | 2009-2010 | Stanford | |
Marie-Francine Moens | post-doc | 2010-2011 | KU Leuven | |
Martha Palmer | post-doc | 2011-2013 | CU Boulder (LinguisTree) |
Children
Sign in to add traineeUpendra Sapkota | grad student | 2014-2015 | UAB |
John David Osborne | grad student | 2014-2016 | UAB |
Quynh Thi Ngoc | grad student | 2012-2017 | KU Leuven |
Farig Sadeque | grad student | 2014-2019 | University of Arizona |
Vikas Yadav | grad student | 2016-2020 | University of Arizona |
Dongfang Xu | grad student | 2016-2021 | University of Arizona |
Zeyu Zhang | grad student | 2019-2023 | University of Arizona |
BETA: Related publications
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Publications
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Miller T, Bethard S, Dligach D, et al. (2023) End-to-end clinical temporal information extraction with multi-head attention. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2023: 313-319 |
Laparra E, Bethard S, Miller TA. (2020) Rethinking domain adaptation for machine learning over clinical language. Jamia Open. 3: 146-150 |
Xu D, Gopale M, Zhang J, et al. (2020) Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. Journal of the American Medical Informatics Association : Jamia |
Lin C, Bethard S, Dligach D, et al. (2020) Does BERT need domain adaptation for clinical negation detection? Journal of the American Medical Informatics Association : Jamia |
González-López S, López-López A, Bethard S, et al. (2019) A Model for Identifying Steps in Undergraduate Thesis Methodology Research in Computing Science. 148: 17-24 |
Laparra E, Xu D, Bethard S. (2018) From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations. Transactions of the Association For Computational Linguistics. 6: 343-356 |
Xu D, Yadav V, Bethard S. (2018) UArizona at the MADE1.0 NLP Challenge. Proceedings of Machine Learning Research. 90: 57-65 |
Osborne JD, Neu MB, Danila MI, et al. (2018) CUILESS2016: a clinical corpus applying compositional normalization of text mentions. Journal of Biomedical Semantics. 9: 2 |
Sadeque F, Xu D, Bethard S. (2017) UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection. Ceur Workshop Proceedings. 1866 |
Miller T, Dligach D, Bethard S, et al. (2017) Towards Generalizable Entity-Centric Clinical Coreference Resolution. Journal of Biomedical Informatics |