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KELVIN: a tool for automated knowledge base construction

Authors: Paul McNamee, James Mayfield, Tim Finin, Tim Oates, Dawn Lawrie, Tan Xu, and Doug Oard

Book Title: Proc. Conf. of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Date: June 03, 2013

Abstract: We 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.

Type: InProceedings

Organization: Association for Computational Linguistics

Note: (demonstration paper)

Tags: natural language processing, information extraction

Google Scholar: search

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