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

KELVIN: a tool for automated knowledge base construction

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

June 3, 2013

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.

BibTeX OWL Tweet Scholar

Tags: information extraction, natural language processing

Type: InProceedings

Organization: Association for Computational Linguistics

Note: (demonstration paper)

Downloads: 1465 downloads