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Volumn 5723 LNCS, Issue , 2009, Pages 8-23

Analysis and improvement of minimally supervised machine learning for relation extraction

Author keywords

[No Author keywords available]

Indexed keywords

BIPARTITE GRAPHS; DATA PROPERTIES; FALSE POSITIVE; GENERAL LEARNING; LEARNING GRAPHS; LINGUISTIC PATTERNS; POSITIVE EXAMPLES; RELATION EXTRACTION; SUBGRAPHS; SUPERVISED MACHINE LEARNING; SYSTEMATIC ANALYSIS;

EID: 78651238074     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12550-8_2     Document Type: Conference Paper
Times cited : (10)

References (18)
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    • Understanding the yarowsky algorithm
    • Abney, S.: Understanding the Yarowsky algorithm. Computational Linguistics 30(3), 365-395 (2004)
    • (2004) Computational Linguistics , vol.30 , Issue.3 , pp. 365-395
    • Abney, S.1
  • 4
    • 38049162242 scopus 로고    scopus 로고
    • Using the web to reduce data sparseness in patternbased information extraction
    • Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007 Springer, Heidelberg
    • Blohm, S., Cimiano, P.: Using the Web to Reduce Data Sparseness in Patternbased Information Extraction. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 18-29. Springer, Heidelberg (2007)
    • (2007) LNCS (LNAI) , vol.4702 , pp. 18-29
    • Blohm, S.1    Cimiano, P.2
  • 5
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled sata with co-training
    • Blum, A., Mitchell, T.M.: Combining labeled and unlabeled sata with co-training. In: COLT, pp. 92-100 (1998)
    • (1998) COLT , pp. 92-100
    • Blum, A.1    Mitchell, T.M.2
  • 7
    • 85135909578 scopus 로고    scopus 로고
    • Improving semi-supervised acquisition of relation extraction patterns
    • Sydney, Australia, July 2006,. Association for Computational Linguistics
    • Greenwood, M.A., Stevenson,M.: Improving semi-supervised acquisition of relation extraction patterns. In: Proceedings of the Workshop on Information Extraction Beyond The Document, Sydney, Australia, July 2006, pp. 29-35. Association for Computational Linguistics (2006)
    • (2006) Proceedings of the Workshop on Information Extraction beyond the Document , pp. 29-35
    • Greenwood, M.A.1    Stevenson, M.2
  • 11
    • 78651256602 scopus 로고    scopus 로고
    • A semantic approach to IE pattern induction
    • Stevenson, M., Greenwood, M.A.: A Semantic Approach to IE Pattern Induction. Ann. Arbor. 100 (2005)
    • (2005) Ann. Arbor. , vol.100
    • Stevenson, M.1    Greenwood, M.A.2
  • 12
    • 85055532723 scopus 로고    scopus 로고
    • An improved extraction pattern representation model for automatic IE pattern acquisition
    • Sudo, K., Sekine, S., Grishman, R.: An improved extraction pattern representation model for automatic IE pattern acquisition. In: Proceedings of ACL 2003, pp. 224- 231 (2003)
    • (2003) Proceedings of ACL 2003 , pp. 224-231
    • Sudo, K.1    Sekine, S.2    Grishman, R.3
  • 17
    • 0012845126 scopus 로고    scopus 로고
    • Dissertation, Department of Computer Science, Graduate School of Arts and Science, New York University, New York, USA
    • Yangarber, R.: Scenarion Customization for Information Extraction. Dissertation, Department of Computer Science, Graduate School of Arts and Science, New York University, New York, USA (2001)
    • (2001) Scenarion Customization for Information Extraction
    • Yangarber, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.