Biography:Ellen Riloff

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Short description: American computer scientist
Ellen Riloff
Alma materUniversity of Massachusetts Amherst (Ph.D. and M.S. in Computer Science)
Carnegie Mellon University (B.S. in Applied Mathematics/Computer Science)
FieldComputer Science
InstitutionsUniversity of Utah (1994-present)
Dissertation"Information Extraction as a Basis for Portable Text Classification Systems"(1994)
Doctoral advisorWendy Lehnert
WebsitePersonal website

Ellen Riloff is an American computer scientist currently serving as a professor at the School of Computing at the University of Utah. Her research focuses on Natural Language Processing and Computational Linguistics, specifically information extraction, sentiment analysis, semantic class induction, and bootstrapping methods that learn from unannotated texts.

Education

After receiving her bachelor’s degree in applied mathematics (computer science) from Carnegie Mellon University, Riloff completed both her M.S. and Ph.D. in Computer Science at the University of Massachusetts Amherst,[1] where she defended her dissertation under the guidance of Wendy Lehnert.[2]

Career

Riloff is currently a Professor of Computer Science at the University of Utah. She has served as the General Chair for the EMNLP 2018 conference, Program Co-Chair for the NAACL HLT 2012 and CoNLL 2004 conferences, on the NAACL Executive Board (2004-2005 and 2017-2018), the Computational Linguistics Editorial Board, and the Transactions of the Association for Computational Linguistics (TACL) Editorial Board.[1]

Riloff has served as Faculty Advisor for the ACL 2007 Student Research Workshop,[1] and in 2018, she was named a Fellow of the Association for Computational Linguistics (ACL).[3]

Research

Riloff’s primary research areas include information extraction, sentiment & affective text analysis, semantic class induction, social media analysis, coreference resolution, and medical text processing.[4] She is best known for her work on bootstrapping, which she and Rosie Jones received an AAAI Classic Paper Award for in 2017, and information extraction, which she received an AAAI Classic Paper Honorable Mention for in 2012. Riloff has also worked more broadly on coreference resolution, sentiment analysis, active learning, and even veterinary medicine.

Awards and recognition

Publications

Riloff has over 140 publications[7] that predominantly cover topics in the natural language processing field. Some of her publication topics include frame semantics, sentiment, events, and information extraction.[6]

Selected publications

Source:[6]

References