SemEval-2013 Task 3: Spatial role labeling

Oleksandr Kolomiyets, Parisa Kordjamshidi, Steven Bethard, Marie Francine Moens

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

27 Scopus citations

Abstract

Many NLP applications require information about locations of objects referenced in text, or relations between them in space. For example, the phrase a book on the desk contains information about the location of the object book, as trajector, with respect to another object desk, as landmark. Spatial Role Labeling (SpRL) is an evaluation task in the information extraction domain which sets a goal to automatically process text and identify objects of spatial scenes and relations between them. This paper describes the task in Semantic Evaluations 2013, annotation schema, corpora, participants, methods and results obtained by the participants.

Original languageEnglish (US)
Title of host publication*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
PublisherAssociation for Computational Linguistics (ACL)
Pages255-262
Number of pages8
ISBN (Electronic)9781937284497
StatePublished - 2013
Externally publishedYes
Event2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 - Atlanta, United States
Duration: Jun 13 2013Jun 14 2013

Publication series

Name*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
Volume2

Conference

Conference2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013
Country/TerritoryUnited States
CityAtlanta
Period6/13/136/14/13

ASJC Scopus subject areas

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

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