Eric Brill

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Eric Brill is a computer scientist specializing in natural language processing.[1] He created the Brill tagger, a supervised part of speech tagger.[2] Another research paper of Brill introduced a machine learning technique now known as transformation-based learning.[3]

Biography[edit]

Eric earned a BA in mathematics from the University of Chicago in 1987 and a MS in Computer Science from UT Austin in 1989. In 1994, he completed his PhD at the University of Pennsylvania.[4] He was an assistant professor at Johns Hopkins University from 1994 to 1999.[5] In 1999, he left JHU for Microsoft Research,[6] he developed a system called "Ask MSR" that answered search engine queries written as questions in English,[7] and was quoted in 2004 as predicting only brief success for Google's search engine business.[8] In 2009 he moved to eBay to head their research laboratories.[9]

References[edit]

  1. ^ "Eric David Brill - Home". dl.acm.org. Retrieved 2021-03-25.
  2. ^ Brill, Eric (1992), "A simple rule-based part of speech tagger", HLT '91: Proceedings of the workshop on Speech and Natural Language, Morristown, NJ, USA: Association for Computational Linguistics, pp. 112–116, doi:10.3115/1075527.1075553, ISBN 1-55860-272-0.
  3. ^ Brill, Eric (December 1995), "Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging", Comput. Linguist., Cambridge, MA, USA: MIT Press, 21 (4): 543–565.
  4. ^ Brill, Eric (1993-12-01). "A Corpus-Based Approach to Language Learning". IRCS Technical Reports Series.
  5. ^ Eric Brill Profile
  6. ^ Banko, Michele. "Scaling to Very Very Large Corpora for Natural Language Disambiguation" (PDF). www.microsoft.com.{{cite web}}: CS1 maint: url-status (link)
  7. ^ From factoids to facts, The Economist, August 28, 2004.
  8. ^ Microsoft Researcher Questions Search Engine Business Model, Paula Rooney, InformationWeek, September 29, 2004.
  9. ^ Microsoft’s adCenter GM & Search Researcher Eric Brill Moves To eBay, Barry Schwartz, Search Engine Land, September 24, 2009.