Greg Durrett
Associate Professor
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolGreg Durrett is an associate professor and NLP researcher with over a decade of experience building systems that help models access and reason about textual knowledge, now exploring where large models like GPT-4 succeed and fail and how to compose them as primitives in modular pipelines. A 2023 Sloan Fellow and 2022 NSF CAREER awardee, he combines rigorous academic foundations (PhD Berkeley, BS MIT) with industry experience advancing conversational agents at Semantic Machines and internship work at Google. His work spans coreference, entity linking, parsing, and joint models that balance linguistic insight with data-driven methods, and he leads a lab focused on practical enhancements to LLM capabilities. Based in Austin and recently moving to NYU, he is known for translating deep technical research into systems that improve real-world language understanding.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, BerkeleyBachelor of Science (BS), Computer Science, Mathematics, Bachelor of Science (BS), Computer Science, Mathematics at Massachusetts Institute of Technology
Github Skills (37)
parser10
coreference10
record-linkage10
epic10
coreference-resolution10
prediction10
high-performance10
entity-resolution10
entity10
named-entity-recognition9
language-processing9
scala9
machine-learning9
nlp8
entity-linking8
Programming languages (4)
Github contributions (5)
ccied/ugforum-analysis
Jul 2017 - Jan 2019
Contributions:4 commits, 2 PRs, 2 pushes in 1 year 5 months
automated-analysispythonmarkets
gregdurrett/berkeley-entity
Oct 2014 - Dec 2019
The Berkeley Entity Resolution System jointly solves the problems of named entity recognition, coreference resolution, and entity linking with a feature-rich discriminative model.
Contributions:67 commits, 2 PRs, 46 pushes in 5 years 2 months
record-linkagenamed-entity-recognitionentity-recognitionentityfeature-rich
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