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A Context-Aware Approach to Entity Linking

Authors: veselin Stoyanov, James Mayfield, Tan Xu, Doug Oard, Dawn Lawrie, Tim Oates, and Tim Finin

Book Title: Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction

Date: June 07, 2012

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.

Type: InProceedings

Publisher: Association for Computational Linguistics

Tags: information extraction, natural language processing, named entity recognition, entity linking, context

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