Syntactic and semantic kernels for short text pair categorization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on language models and bag-of-words. Therefore, learning methods to exploit syntax and semantics are required. In this paper, we present a new kernel for the representation of shallow semantic information along with a comprehensive study on kernel methods for the exploitation of syntactic/semantic structures for short text pair categorization. Our experiments with Support Vector Machines on question/answer classification show that our kernels can be used to greatly improve system accuracy.

Original languageEnglish
Title of host publicationEACL 2009 - 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings
Pages576-584
Number of pages9
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009 - Athens, Greece
Duration: 30 Mar 20093 Apr 2009

Other

Other12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009
CountryGreece
CityAthens
Period30/3/093/4/09

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ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Cite this

Moschitti, A. (2009). Syntactic and semantic kernels for short text pair categorization. In EACL 2009 - 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings (pp. 576-584)