Using Wikitology for Cross-Document Entity Coreference Resolution

Authors: Tim Finin, Zareen Syed, James Mayfield, Paul McNamee, and Christine Piatko

Book Title: Proceedings of the AAAI Spring Symposium on Learning by Reading and Learning to Read

Date: March 23, 2009

Abstract: We describe the use of the Wikitology knowledge base as a resource for a variety of applications with special focus on a cross-document entity coreference resolution task. This task involves recognizing when entities and relations mentioned in different documents refer to the same object or relation in the world. Wikitology is a knowledge base system constructed with material from Wikipedia, DBpedia and Freebase that includes both unstructured text and semi-structured information. Wikitology was used to define features that were part of a system implemented by the Johns Hopkins University Human Language Technology Center of Excellence for the 2008 Automatic Content Extraction cross-document coreference resolution evaluation organized by National Institute of Standards and Technology.

Type: InProceedings

Publisher: AAAI Press

Tags: natural language processing, human language technology, wikitology, natural language processing

Google Scholar: wl2yoq2guDEJ

Number of Google Scholar citations: 7 [show citations]

Number of downloads: 1078

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