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CORDER: Community Relation Discovery by named Entity Recognition

Zhu, Jianhan; Gonçalves, Alexandre; Uren, Victoria; Motta, Enrico and Pacheco, Roberto (2005). CORDER: Community Relation Discovery by named Entity Recognition. In: Proceedings of the 3rd international conference on Knowledge capture - K-CAP '05 (Association for Computing Machinery, ACM ed.), ACM, New York, NY U.S., pp. 219–220.

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We present a text mining method called CORDER [4] which discovers social networks from an organization's documents. CORDER finds relations between a target named entity and other named entities which occur with it.

Item Type: Conference or Workshop Item
Copyright Holders: 2005 The Authors
ISBN: 1-59593-163-5, 978-1-59593-163-4
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetDesigning Adaptive Information Extraction from Text for Knowledge Management (Dot.Kom) project [IST-2001- 34038]
Not SetNot SetAdvanced Knowledge Technologies (AKT) project [GR/N15764/01]
Not SetNot SetScholarship held by Alexandre Gonçalves from the Brazilian National Research Council (CNPq)
Extra Information: ISBN: 1-59593-163-5
ACM 1-59593-163-5/05/0010
Keywords: relation discovery; clustering; named entity recognition
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 23657
Depositing User: Kay Dave
Date Deposited: 28 Mar 2011 11:22
Last Modified: 27 Jun 2020 01:39
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