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.

DOI: https://doi.org/10.1145/1088622.1088677

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.

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About

• Item ORO ID
• 23657
• Item Type
• Conference or Workshop Item
• ISBN
• 1-59593-163-5, 978-1-59593-163-4
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	Not Set	Designing Adaptive Information Extraction from Text for Knowledge Management (Dot.Kom) project [IST-2001- 34038]
  Not Set	Not Set	Advanced Knowledge Technologies (AKT) project [GR/N15764/01]
  Not Set	Not Set	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 or 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)
• Copyright Holders
• © 2005 The Authors
• Related URLs
• • http://www.kcap05.org/(Other)
• Depositing User
• Kay Dave