CORDER: Community relation discovery by named entity recognition

Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05

Volumn , Issue , 2005, Pages 219-220

  Zhu, Jianhan ^a   Gonçalves, Alexandre ^a,b   Uren, Victoria ^a   Motta, Enrico ^a   Pacheco, Roberto ^b  

^a Open University   (Australia)

^b FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

Clustering; Named entity recognition; Relation discovery

Indexed keywords

COMMUNITY RELATIONS; NAMED ENTITIES; NAMED ENTITY RECOGNITION; SOCIAL NETWORKS; TEXT MINING;

MINING; PUBLIC RELATIONS; TEXT PROCESSING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 67649980210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1088622.1088677     Document Type: Conference Paper

References (4)

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). (Pubitemid 129628761)
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., Gonçalves, 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).