UCB: System description for SemEval Task #4

Preslav I. Nakov, Marti A. Hearst

Research output: Contribution to conferencePaper

11 Citations (Scopus)

Abstract

The UC Berkeley team participated in the SemEval 2007 Task #4, with an approach that leverages the vast size of the Web in order to build lexically-specific features. The idea is to determine which verbs, prepositions, and conjunctions are used in sentences containing a target word pair, and to compare those to features extracted for other word pairs in order to determine which are most similar. By combining these Web features with words from the sentence context, our team was able to achieve the best results for systems of category C and third best for systems of category A. c 2007 Association for Computational Linguistics.

Original languageEnglish
Pages366-369
Number of pages4
Publication statusPublished - 1 Jan 2007
Event4th International Workshop on Semantic Evaluations, SemEval 2007 - Prague, Czech Republic
Duration: 23 Jun 200724 Jun 2007

Other

Other4th International Workshop on Semantic Evaluations, SemEval 2007
CountryCzech Republic
CityPrague
Period23/6/0724/6/07

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Cite this

Nakov, P. I., & Hearst, M. A. (2007). UCB: System description for SemEval Task #4. 366-369. Paper presented at 4th International Workshop on Semantic Evaluations, SemEval 2007, Prague, Czech Republic.