The TempEval challenge: identifying temporal relations in text

Conference proceeding

Peer reviewed

The TempEval challenge: identifying temporal relations in text

Marc VERHAGEN, Robert GAIZAUSKAS, Frank SCHILDER, Mark HEPPLE, Jessica MOSZKOWICZ and James PUSTEJOVSKY

Language resources and evaluation, Vol.43(2), pp.161-179

Computational Semantic Analysis of Language: SemEval-2007 and Beyond

2009

DOI: https://doi.org/10.1007/s10579-009-9086-z

Abstract

Applied linguistics

Linguistics

Computational linguistics

Metrics

23 Record Views

Details

Title: The TempEval challenge: identifying temporal relations in text
Creators: Marc VERHAGEN - Brandeis University, Waltham, MA, United States
Robert GAIZAUSKAS - University of Sheffield, Sheffield, South Yorkshire, England, United Kingdom
Frank SCHILDER - Thomson Reuters Corporation, New York, NY, United States
Mark HEPPLE - University of Sheffield, Sheffield, South Yorkshire, England, United Kingdom
Jessica MOSZKOWICZ - Brandeis University, Waltham, MA, United States
James PUSTEJOVSKY - Brandeis University, Waltham, MA, United States
Publication Details: Language resources and evaluation, Vol.43(2), pp.161-179
Conference: Computational Semantic Analysis of Language: SemEval-2007 and Beyond
Publisher: Springer; Dordrecht
Identifiers: 9923958423601921
Academic Unit: Michtom School of Computer Science; Benjamin and Mae Volen National Center for Complex Systems; Interdepartmental Program in Linguistics and Computational Linguistics
Language: English
Resource Type: Conference proceeding