Ellen Riloff facts for kids
| Alma mater | University of Massachusetts Amherst (Ph.D. and M.S. in Computer Science) Carnegie Mellon University (B.S. in Applied Mathematics/Computer Science) |
|---|---|
| Field | Computer Science |
| Institutions | University of Utah (1994-present) |
| Dissertation | "Information Extraction as a Basis for Portable Text Classification Systems"(1994) |
| Doctoral advisor | Wendy Lehnert |
| Website | Personal 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.
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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, where she defended her dissertation under the guidance of Wendy Lehnert.
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.
Riloff has served as Faculty Advisor for the ACL 2007 Student Research Workshop, and in 2018, she was named a Fellow of the Association for Computational Linguistics (ACL).
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. 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
- ACL Fellow. "For significant contributions to information extraction, and the analysis of sentiment, subjectivity and affect.". Association for Computational Linguistics (ACL), 12/10/2018
- AAAI Classic Paper Award. "Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping". Sixteenth National Conference on Artificial Intelligence (AAAI-99) (2017)
- AMIA 2017 Distinguished Paper Award Finalist. "Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification". AMIA 2017 Annual Symposium (AMIA 2017)
- AAAI Classic Paper Honorable Mention. "Automatically Constructing a Dictionary for Information Extraction Tasks". Eleventh National Conference on Artificial Intelligence (AAAI-93) (2012)
