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Volumn , Issue , 2007, Pages 93-96

Generating usable formats for metadata and annotations in a large meeting corpus

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; REUSABILITY; XML;

EID: 74049135129     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1557769.1557797     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 1
    • 18444390388 scopus 로고    scopus 로고
    • Extending Dublin Core metadata to support the description and discovery of language resources
    • Steven Bird and Gary Simons. 2001. Extending Dublin Core metadata to support the description and discovery of language resources. Computers and the Humanities, 37(4):375–388.
    • (2001) Computers and the Humanities , vol.37 , Issue.4 , pp. 375-388
    • Bird, Steven1    Simons, Gary2
  • 4
    • 33745530242 scopus 로고    scopus 로고
    • The AMI Meeting Corpus: A pre-announcement
    • and al Steve Renals and Samy Bengio, editors, pages Springer-Verlag, Berlin/Heidelberg
    • Jean Carletta and al. 2006. The AMI Meeting Corpus: A pre-announcement. In Steve Renals and Samy Bengio, editors, Machine Learning for Multimodal Interaction II, LNCS 3869, pages 28–39. Springer-Verlag, Berlin/Heidelberg.
    • (2006) Machine Learning for Multimodal Interaction II, LNCS , vol.3869 , pp. 28-39
    • Carletta, Jean1
  • 5
    • 24144449538 scopus 로고    scopus 로고
    • The NITE XML Toolkit meets the ICSI Meeting Corpus: Import, annotation, and browsing
    • Samy Bengio and Hervé Bourlard, editors, pages Springer-Verlag, Berlin/Heidelberg
    • Jean Carletta and Jonathan Kilgour. 2005. The NITE XML Toolkit meets the ICSI Meeting Corpus: Import, annotation, and browsing. In Samy Bengio and Hervé Bourlard, editors, Machine Learning for Multimodal Interaction, LNCS 3361, pages 111–121. Springer-Verlag, Berlin/Heidelberg.
    • (2005) Machine Learning for Multimodal Interaction, LNCS , vol.3361 , pp. 111-121
    • Carletta, Jean1    Kilgour, Jonathan2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.