A Context-Aware Approach to Entity Linking

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https://dl.acm.org/citation.cfm?id=2391212

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http://hdl.handle.net/11603/12025

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

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Author/Creator ORCID

https://orcid.org/0000-0002-6593-1792

Date

2012-06-07

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conference papers and proceedings
preprints
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Citation of Original Publication

veselin 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=2391212

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Subjects

entity linking
information extraction
named entity recognition
natural language processing
UMBC Ebiquity Research Group

Abstract

Entity 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.