Steven Bethard

Associate Professor, College Of Information Science

Tucson, Arizona, United States
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Summary

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Senior
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Steven Bethard is an associate professor and NLP researcher with 20 years of experience applying machine learning to real-world language problems, from modeling temporal language and extracting timelines to normalizing clinical and geospatial text to ontologies. Based in Tucson, he blends cognitive-science grounding (Ph.D. in Computer Science and Cognitive Science) with a long academic track—faculty roles at the University of Arizona and UAB and postdoctoral work at Stanford and KU Leuven—to move research into clinical and educational applications. His work is notable for tackling practical normalization and information-extraction challenges in healthcare and for projects that extract narrative structure (timelines, plots) from stories and patient texts. A former Python Software Foundation member, he combines deep technical skill in ML/NLP with a commitment to reproducible software and interdisciplinary collaboration.
code20 years of coding experience
job22 years of employment as a software developer
bookThe University of Arizona
bookPh.D., Computer Science and Cognitive Science, Ph.D., Computer Science and Cognitive Science at University of Colorado Boulder
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Github Skills (102)

python10
expressions10
converting10
computational-linguistics10
computer-science10
multicore10
latex10
dates10
uima10
science10
natural-language-processing10
ranking10
react10
labeling9
acl9

Programming languages (15)

JavaCScalaTeXHTMLPerlJupyter NotebookTypeScript

Github contributions (5)

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stylerw/thymedata

Jul 2014 - Feb 2016

This is a repository for annotation data for the THYME Project, a clinical natural language processing project dedicated to extracting useful temporal relations from the clinical narrative.
Contributions:2 releases, 6 commits, 3 pushes in 1 year 6 months
natural-language-processing
bethard/anaforatools

Aug 2014 - Sep 2022

Contributions:2 releases, 134 commits, 2 PRs in 8 years 2 months
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