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Volumn 1141, Issue , 2014, Pages 54-60

Making sense of microposts (#Microposts2014) named entity extraction & linking challenge

Author keywords

Challenge; Disambiguation; Evaluation; Extraction; Linking; Microposts; Namedentity

Indexed keywords

EXTRACTION; SOCIAL NETWORKING (ONLINE); STATISTICAL TESTS; WORLD WIDE WEB;

EID: 84922031721     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (20)
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  • 12
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    • Miller, G.A.1
  • 13
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    • Improved part-of-speech tagging for online conversational text with word clusters
    • O. Owoputi, C. Dyer, K. Gimpel, N. Schneider, and N. A. Smith. Improved part-of-speech tagging for online conversational text with word clusters. In NAACL, 2013.
    • (2013) NAACL
    • Owoputi, O.1    Dyer, C.2    Gimpel, K.3    Schneider, N.4    Smith, N.A.5
  • 14
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    • Named entity recognition in tweets: An experimental study
    • A. Ritter, S. Clark, Mausam, and O. Etzioni. Named entity recognition in tweets: An experimental study. In EMNLP, 2011.
    • (2011) EMNLP
    • Ritter, A.1    Clark, S.2    Mausam3    Etzioni, O.4
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    • A cross-lingual dictionary for English Wikipedia concepts
    • V. I. Spitkovsky and A. X. Chang. A cross-lingual dictionary for English Wikipedia concepts. In LREC, 2012.
    • (2012) LREC
    • Spitkovsky, V.I.1    Chang, A.X.2
  • 20
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    • Adapting boosting for information retrieval measures
    • Q. Wu, C. J. Burges, K. M. Svore, and J. Gao. Adapting boosting for information retrieval measures. Information Retrieval, 13(3):254-270, 2010.
    • (2010) Information Retrieval , vol.13 , Issue.3 , pp. 254-270
    • Wu, Q.1    Burges, C.J.2    Svore, K.M.3    Gao, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.