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

Brill 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 the shift of Google's web-page based search to information based search. [8] In 2009 he moved to eBay to head their research laboratories. [9]

Related Research Articles

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References

  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 (Thesis).
  5. ↑ Eric Brill Profile
  6. ↑ Banko, Michele. "Scaling to Very Very Large Corpora for Natural Language Disambiguation" (PDF). www.microsoft.com.
  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.


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