| Building intelligent systems in open, heterogeneous, dynamic, distributed environments |
Using Wikitology for Cross-Document Entity Coreference ResolutionAuthors: 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 Google Scholar: search Number of downloads: 319 Available for download as
Bookmark at: Digg | Del.icio.us | Connotea | CiteULike |
| Home | About Us | Contact Us | Site Map | Legal | Privacy Copyright © 1999-2009 UMBC ebiquity research group. Copyright © 2003-2009 Site design and RGB engine code by Filip Perich. XG Page gen 0.021 sec. |