The Open UniversitySkip to content

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 (Association for Computing Machinery, ACM ed.), 2-5 Oct 2005, Banff, Canada, ACM, pp. 219–220.

Full text available as:
Full text not publicly available
Due to copyright restrictions, this file is not available for public download
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


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
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/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 23657
Depositing User: Kay Dave
Date Deposited: 28 Mar 2011 11:22
Last Modified: 25 May 2011 00:56
Share this page:


Scopus Citations

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340