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, 2-5 Oct 2005, Banff, Canada.

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DOI (Digital Object Identifier) Link:	http://dx.doi.org/doi:10.1145/1088622.1088677
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Abstract

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 Item
Copyright Holders:	2005 The Authors
ISBN:	1-59593-163-5, 978-1-59593-163-4
Funders:	Designing Adaptive Information Extraction from Text for Knowledge Management (Dot.Kom) project [IST-2001- 34038], Advanced Knowledge Technologies (AKT) project [GR/N15764/01], Scholarship 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/Department:	Knowledge Media Institute
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC)
Related URLs:	http://www.kcap05.org/(Other)
Item ID:	23657
Depositing User:	Kay Dave
Date Deposited:	28 Mar 2011 11:22
Last Modified:	25 May 2011 00:56
URI:	http://oro.open.ac.uk/id/eprint/23657

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