UIUC: A knowledge-rich approach to identifying semantic relations between nominals

Brandon Beamer; Suma Bhat; Brant Chee; Andrew Fister; Alla Rozovskaya; Roxana Girju

UIUC: A knowledge-rich approach to identifying semantic relations between nominals

Brandon Beamer, Suma Bhat, Brant Chee, Andrew Fister, Alla Rozovskaya, Roxana Girju

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.

Original language	English (US)
Pages	386-389
Number of pages	4
State	Published - 2007
Event	4th International Workshop on Semantic Evaluations, SemEval 2007 - Prague, Czech Republic Duration: Jun 23 2007 → Jun 24 2007

Other

Other	4th International Workshop on Semantic Evaluations, SemEval 2007
Country/Territory	Czech Republic
City	Prague
Period	6/23/07 → 6/24/07

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Library availability

Discover UIUC Full Text

Cite this

@conference{41efc3c92cfa4ff28bbd3aae02a090ce,

title = "UIUC: A knowledge-rich approach to identifying semantic relations between nominals",

abstract = "This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.",

author = "Brandon Beamer and Suma Bhat and Brant Chee and Andrew Fister and Alla Rozovskaya and Roxana Girju",

note = "Publisher Copyright: {\textcopyright} 2007 Association for Computational Linguistics.; 4th International Workshop on Semantic Evaluations, SemEval 2007 ; Conference date: 23-06-2007 Through 24-06-2007",

year = "2007",

language = "English (US)",

pages = "386--389",

}

TY - CONF

T1 - UIUC

T2 - 4th International Workshop on Semantic Evaluations, SemEval 2007

AU - Beamer, Brandon

AU - Bhat, Suma

AU - Chee, Brant

AU - Fister, Andrew

AU - Rozovskaya, Alla

AU - Girju, Roxana

PY - 2007

Y1 - 2007

N2 - This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.

AB - This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.

UR - http://www.scopus.com/inward/record.url?scp=84889081599&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889081599&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84889081599

SP - 386

EP - 389

Y2 - 23 June 2007 through 24 June 2007

ER -

UIUC: A knowledge-rich approach to identifying semantic relations between nominals

Abstract

Other

ASJC Scopus subject areas

Library availability

Related links

Fingerprint

Cite this