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Volumn , Issue , 2008, Pages 25-32

Aggregating machine learning and rule based heuristics for named entity recognition

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85119982170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (20)
  • 5
    • 58349098742 scopus 로고    scopus 로고
    • Named Entity Recognition in Hindi using MEMM
    • IIT Bombay, India
    • N. Kumar and Pushpak Bhattacharyya. 2006. Named Entity Recognition in Hindi using MEMM. In Technical Report, IIT Bombay, India.
    • (2006) Technical Report
    • Kumar, N.1    Bhattacharyya, Pushpak2
  • 7
    • 0039049053 scopus 로고    scopus 로고
    • Internal and external evidence in the identification and semantic categorization of proper names
    • B. Boguraev and J. Pustejovsky, editors
    • D. McDonald 1996. Internal and external evidence in the identification and semantic categorization of proper names. In B. Boguraev and J. Pustejovsky, editors, Corpus Processing for Lexical Acquisition.
    • (1996) Corpus Processing for Lexical Acquisition
    • McDonald, D.1
  • 8
  • 18
    • 0040402753 scopus 로고    scopus 로고
    • Evaluation of an algorithm for the recognition and classification of proper names
    • T. Wakao, R. Gaizauskas and Y. Wilks 1996. Evaluation of an algorithm for the recognition and classification of proper names. In Proceedings of COLING.
    • (1996) Proceedings of COLING
    • Wakao, T.1    Gaizauskas, R.2    Wilks, Y.3
  • 19
    • 84977493137 scopus 로고    scopus 로고
    • Rapid Development of Hindi Named Entity Recognition using Conditional Random Fields and Feature Induction
    • Li Wei and McCallum Andrew. 2004. Rapid Development of Hindi Named Entity Recognition using Conditional Random Fields and Feature Induction. In ACM Transactions on Computational Logic.
    • (2004) ACM Transactions on Computational Logic
    • Wei, Li1    Andrew, McCallum2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.