Eric Brill

From Wikipedia, the free encyclopedia
Jump to: navigation, search

Eric Brill is a computer scientist specializing in natural language processing. He is famous for his Brill tagger, a supervised part of speech tagger.[1] Another widely cited research paper of Brill introduced a machine learning technique now known as transformation-based learning.[2] Formerly a researcher for Microsoft, he developed a system called "Ask MSR" that answered search engine queries written as questions in English,[3] and was quoted in 2004 as predicting only brief success for Google's search engine business.[4] In 2009 he moved to eBay to head their research laboratories.[5]

[edit] References

  1. ^ 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 .
  2. ^ 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, http://portal.acm.org/citation.cfm?id=218355.218367 .
  3. ^ From factoids to facts, The Economist, August 28, 2004.
  4. ^ Microsoft Researcher Questions Search Engine Business Model, Paula Rooney, InformationWeek, September 29, 2004.
  5. ^ Microsoft’s adCenter GM & Search Researcher Eric Brill Moves To eBay, Barry Schwartz, Search Engine Land, September 24, 2009.


Personal tools
Namespaces
Variants
Actions
Navigation
Interaction
Toolbox
Print/export