Finin, TimSyed, ZareenMayfield, JamesMcNamee, PaulPiatko, Christine2018-11-292018-11-292009-03-23Tim Finin, Zareen Syed, James Mayfield, Paul McNamee, and Christine Piatko, Using Wikitology for Cross-Document Entity Coreference Resolution, Proceedings of the AAAI Spring Symposium on Learning by Reading and Learning to Read, 2009, https://www.aaai.org/Papers/Symposia/Spring/2009/SS-09-07/SS09-07-006.pdfhttp://hdl.handle.net/11603/12143Proceedings of the AAAI Spring Symposium on Learning by Reading and Learning to ReadWe 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.7 pagesen-USThis 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.human language technologynatural language processingwikitologyUMBC Ebiquity Research GroupText