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Volumn , Issue , 2008, Pages 381-384

Who is it? Context sensitive named entity and instance recognition by means of Wikipedia

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION TECHNIQUES; CONTEXT SENSITIVES; F MEASURES; NAMED ENTITIES; SUB-GRAPHS; WIKIPEDIA;

EID: 62949208156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIIAT.2008.421     Document Type: Conference Paper
Times cited : (6)

References (13)
  • 1
    • 62949087890 scopus 로고    scopus 로고
    • Nist 2007 automatic content extraction evaluation official results, 2007
    • Nist 2007 automatic content extraction evaluation official results, 2007.
  • 2
    • 35048883002 scopus 로고    scopus 로고
    • Language-independent methods for compiling monolingual lexical data
    • C. Biemann, S. Bordag, G. Heyer, U. Quasthoff, and C. Wolff. Language-independent methods for compiling monolingual lexical data. In CICLing, pages 217-228, 2004.
    • (2004) CICLing , pp. 217-228
    • Biemann, C.1    Bordag, S.2    Heyer, G.3    Quasthoff, U.4    Wolff, C.5
  • 8
    • 0012992939 scopus 로고    scopus 로고
    • Lexical chains as representations of context for the detection and correction of malaproprisms
    • C. Fellbaum, editor, MIT Press, Cambridge, Massachusetts
    • G. Hirst and D. St-Onge. Lexical chains as representations of context for the detection and correction of malaproprisms. In C. Fellbaum, editor, WordNet - An Electronic Lexical Database. MIT Press, Cambridge, Massachusetts, 1998.
    • (1998) WordNet - An Electronic Lexical Database
    • Hirst, G.1    St-Onge, D.2
  • 9
    • 62949224794 scopus 로고    scopus 로고
    • M. Jimnez. Generation of named entities. In MT Summit VIII. Santiago de Compostela, Spain, 2001. European Association for Machine Translation, 2001.
    • M. Jimnez. Generation of named entities. In MT Summit VIII. Santiago de Compostela, Spain, 2001. European Association for Machine Translation, 2001.
  • 13
    • 84891589367 scopus 로고    scopus 로고
    • Web as preprocessed corpus: Building large annotated corpora from heterogeneous web document data
    • In preparation
    • U. Waltinger and A. Mehler. Web as preprocessed corpus: Building large annotated corpora from heterogeneous web document data. In preparation, 2008.
    • (2008)
    • Waltinger, U.1    Mehler, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.