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CORDER: COmmunity relation discovery by named entity recognition

Published: 02 October 2005 Publication History

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.

References

[1]
Resnik, P., Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language. Journal of Artificial Intelligence Research. 11:95--130 (1999).
[2]
Wenger, E., Communities of Practice, learning meaning and identity, Cambridge University Press (1998).
[3]
Zhu, J., Uren, V., and Motta, E., ESpotter: Adaptive Named Entity Recognition for Web Browsing, In Proc. of the 3rd Conference on Professional Knowledge Management (2005).
[4]
Zhu, J., Gontalves, A. L., Uren, V. S., Motta, E., Pacheco, R., Mining Web Data for Competency Management, In Proc. of 2005 International Conference on Web Intelligence 2005 (2005).

Cited By

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  • (2012)Discovery of Predicate-Oriented Relations among Named Entities Extracted from Thai TextsIEICE Transactions on Information and Systems10.1587/transinf.E95.D.1932E95.D:7(1932-1946)Online publication date: 2012
  • (2012)Online named entity recognition method for microtexts in social networking servicesExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.01.13639:9(8066-8070)Online publication date: 1-Jul-2012
  • (2009)A Feature-Based Approach for Relation Extraction from Thai News DocumentsProceedings of the Pacific Asia Workshop on Intelligence and Security Informatics10.1007/978-3-642-01393-5_16(149-154)Online publication date: 28-Apr-2009
  • Show More Cited By

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cover image ACM Conferences
K-CAP '05: Proceedings of the 3rd international conference on Knowledge capture
October 2005
234 pages
ISBN:1595931635
DOI:10.1145/1088622
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2005

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Author Tags

  1. clustering
  2. named entity recognition
  3. relation discovery

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Cited By

View all
  • (2012)Discovery of Predicate-Oriented Relations among Named Entities Extracted from Thai TextsIEICE Transactions on Information and Systems10.1587/transinf.E95.D.1932E95.D:7(1932-1946)Online publication date: 2012
  • (2012)Online named entity recognition method for microtexts in social networking servicesExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.01.13639:9(8066-8070)Online publication date: 1-Jul-2012
  • (2009)A Feature-Based Approach for Relation Extraction from Thai News DocumentsProceedings of the Pacific Asia Workshop on Intelligence and Security Informatics10.1007/978-3-642-01393-5_16(149-154)Online publication date: 28-Apr-2009
  • (2006)Web scale competitor discovery using mutual informationProceedings of the Second international conference on Advanced Data Mining and Applications10.1007/11811305_87(798-808)Online publication date: 14-Aug-2006

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