A Context-Aware Approach to Entity Linking

dc.contributor.authorStoyanov, veselin
dc.contributor.authorMayfield, James
dc.contributor.authorXu, Tan
dc.contributor.authorOard, Doug
dc.contributor.authorLawrie, Dawn
dc.contributor.authorOates, Tim
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-16T15:55:42Z
dc.date.available2018-11-16T15:55:42Z
dc.date.issued2012-06-07
dc.descriptionAKBC-WEKEX '12: Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction; June 2012
dc.description.abstractEntity linking refers to the task of assigning mentions in documents to their corresponding knowledge base entities. Entity linking is a central step in knowledge base population. Current entity linking systems do not explicitly model the discourse context in which the communication occurs. Nevertheless, the notion of shared context is central to the linguistic theory of pragmatics and plays a crucial role in Grice’s cooperative communication principle. Furthermore, modeling context facilitates joint resolution of entities, an important problem in entity linking yet to be addressed satisfactorily. This paper describes an approach to context-aware entity linking.en
dc.description.urihttps://dl.acm.org/citation.cfm?id=2391212en
dc.format.extent6 pagesen
dc.genrepreprints
dc.genreconference papers and proceedingsen
dc.identifierdoi:10.13016/M21834625
dc.identifier.citationveselin Stoyanov, James Mayfield, Tan Xu, Doug Oard, Dawn Lawrie, Tim Oates, and Tim Finin, A Context-Aware Approach to Entity Linking, Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012, https://dl.acm.org/citation.cfm?id=2391212en
dc.identifier.urihttp://hdl.handle.net/11603/12025
dc.language.isoenen
dc.publisherAssociation for Computational Linguisticsen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectentity linkingen
dc.subjectinformation extractionen
dc.subjectnamed entity recognitionen
dc.subjectnatural language processingen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleA Context-Aware Approach to Entity Linkingen
dc.typeTexten
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

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