McNamee, PaulMayfield, JamesFinin, TimOates, TimLawrie, DawnXu, TanOard, Doug2018-11-052018-11-052013-06-03http://hdl.handle.net/11603/11853Proc. Conf. of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesWe present KELVIN, an automated system for processing a large text corpus and distilling a knowledge base about persons, organizations, and locations. We have tested the KELVIN system on several corpora, including: (a) the TAC KBP 2012 Cold Start corpus which consists of public Web pages from the University of Pennsylvania, and (b) a subset of 26k news articles taken from English Gigaword 5th edition. Our NAACL HLT 2013 demonstration permits a user to interact with a set of searchable HTML pages, which are automatically generated from the knowledge base. Each page contains information analogous to the semi-structured details about an entity that are present in Wikipedia Infoboxes, along with hyperlink citations to supporting text.4 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.information extractionnatural language processingKELVINknowledge baseHTML pagesUMBC Ebiquity Research GroupText