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Volumn 40, Issue 11, 2013, Pages 4346-4352

Rhetorics-based multi-document summarization

Author keywords

Discourse Models; Machine Learning; Multi document summarization; Rhetorical roles; Semantic analysis; Statistical language models

Indexed keywords

DISCOURSE MODEL; MULTI-DOCUMENT SUMMARIZATION; RHETORICAL ROLES; SEMANTIC ANALYSIS; STATISTICAL LANGUAGE MODELS;

EID: 84876063562     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.01.017     Document Type: Article
Times cited : (31)

References (18)
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    • 85016508365 scopus 로고    scopus 로고
    • Automatic evaluation of summaries using n-gram co-occurrence statistics
    • Lin, C., & Hovy, E. (2003). Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of NLT-NAACL.
    • (2003) Proceedings of NLT-NAACL
    • Lin, C.1    Hovy, E.2
  • 15
    • 77953613902 scopus 로고    scopus 로고
    • Automatic identification of rhetorical roles using conditional random fields for legal document summarization
    • M. Saravanan, and B. Ravindran Automatic identification of rhetorical roles using conditional random fields for legal document summarization Journal of Artificial Intelligence and Law 2010 45 76
    • (2010) Journal of Artificial Intelligence and Law , pp. 45-76
    • Saravanan, M.1    Ravindran, B.2
  • 17


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.