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Volumn , Issue , 2007, Pages 411-418

Clustering for unsupervised relation identification

Author keywords

Clustering; Information extraction; Relation learning; Unsupervised relation identification

Indexed keywords

CLUSTERING; CLUSTERING EVALUATIONS; FEATURE EXTRACTION AND SELECTIONS; HIER-ARCHICAL CLUSTERING; HIGH PRECISION; INFORMATION EXTRACTION; RELATION LEARNING; TEXT CORPORA; THRESHOLD SELECTIONS; UNSUPERVISED RELATION IDENTIFICATION;

EID: 63449099228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1321440.1321499     Document Type: Conference Paper
Times cited : (59)

References (11)
  • 1
    • 34748895232 scopus 로고    scopus 로고
    • Unsupervised Feature Selection for Relation Extraction
    • Jeju Island, Korea
    • Chen, J., D. Ji, C.L. Tan, and Z. Niu. Unsupervised Feature Selection for Relation Extraction. in IJCNLP-05. 2005. Jeju Island, Korea.
    • (2005) IJCNLP-05
    • Chen, J.1    Ji, D.2    Tan, C.L.3    Niu, Z.4
  • 4
    • 63449113622 scopus 로고    scopus 로고
    • Feldman, R. and B. Rosenfeld. Self-Supervised Relation Extraction from the Web. in ISMIS-2006. Bari, Italy.
    • Feldman, R. and B. Rosenfeld. Self-Supervised Relation Extraction from the Web. in ISMIS-2006. Bari, Italy.
  • 6
    • 85118960253 scopus 로고    scopus 로고
    • Discovering Relations among Named Entities from Large Corpora
    • Hasegawa, T., S. Sekine, and R. Grishman. Discovering Relations among Named Entities from Large Corpora. in ACL 2004.
    • ACL 2004
    • Hasegawa, T.1    Sekine, S.2    Grishman, R.3
  • 7
    • 84876811202 scopus 로고    scopus 로고
    • RCV1: A New Benchmark Collection for Text Categorization Research
    • Lewis, D.D., Y. Yang, T. Rose, and F. Li, RCV1: A New Benchmark Collection for Text Categorization Research. Journal of Machine Learning Research, 2004. 5: p. 361-397.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.3    Li, F.4
  • 9
    • 63449103659 scopus 로고    scopus 로고
    • Rosenfeld, B. and R. Feldman. Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web. in ACL-2007.
    • Rosenfeld, B. and R. Feldman. Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web. in ACL-2007.
  • 10
    • 84858385171 scopus 로고    scopus 로고
    • Shinyama, Y. and S. Sekine. Preemptive Information Extraction using Unrestricted Relation Discovery. in HLT-NAACL 2006.
    • Shinyama, Y. and S. Sekine. Preemptive Information Extraction using Unrestricted Relation Discovery. in HLT-NAACL 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.