SVM classification of framenet semantic roles

Dan Moldovan, Roxana Girju, Marian Olteanu, Ovidiu Fortu

Research output: Contribution to conferencePaperpeer-review

Abstract

A Support Vector Machines (SVM) classifier of FrameNet semantic roles was implemented based on a set of new and previously used syntactic and semantic features. At Senseval 3, the system achieved a precision of 0.807 for the restricted test and 0.898 for the non-restricted test.

Original languageEnglish (US)
Pages167-170
Number of pages4
StatePublished - 2004
Externally publishedYes
Event3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, SENSEVAL@ACL 2004 - Barcelona, Spain
Duration: Jul 25 2004Jul 26 2004

Conference

Conference3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, SENSEVAL@ACL 2004
Country/TerritorySpain
CityBarcelona
Period7/25/047/26/04

ASJC Scopus subject areas

  • Control and Systems Engineering

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