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Volumn , Issue , 2011, Pages 72-81

Content selection from an ontology-based knowledge base for the generation of football summaries

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSESSMENT; DOMAIN ONTOLOGIES; INFERENCE RULES; KNOWLEDGE BASE; NATURAL LANGUAGE GENERATION; NUMERICAL DATA; ONTOLOGY-BASED; SEMANTIC RELATIONS; TEXT PLANNING; USER MODELS;

EID: 84859955301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (22)
  • 9
    • 0027677780 scopus 로고
    • Automated discourse generation using discourse relations
    • Eduard Hovy. 1993 Automated discourse generation using discourse relations. Artificial Intelligence. 63, 341. 385.
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    • Hovy, E.1
  • 10
    • 31144453573 scopus 로고    scopus 로고
    • Learning content selection rules for generating object descriptions in dialogue
    • PamelaW. Jordan and Marilyn A.Walker 2005 Learning content selection rules for generating object descriptions in dialogue Journal of Artificial Intelligence Research 24, 157-194.
    • (2005) Journal of Artificial Intelligence Research , vol.24 , pp. 157-194
    • Jordan, P.W.1    Walker, M.A.2
  • 12
  • 13
    • 42649099277 scopus 로고    scopus 로고
    • Language directed inference from ontologies
    • Chris Mellish and Jeff Z. Pan. 2008 Language Directed Inference from Ontologies. Artificial Intelligence. 172(10):1285-1315.
    • (2008) Artificial Intelligence , vol.172 , Issue.10 , pp. 1285-1315
    • Mellish, C.1    Pan, J.Z.2
  • 14
    • 84937309746 scopus 로고
    • Planning texts for advisory dialogs: Capturing intentional and rhetorical information
    • Johanna D. Moore and Cécile L. Paris. 1993 Planning texts for advisory dialogs: capturing intentional and rhetorical information. Computational Linguistics. 19(4), 651-694.
    • (1993) Computational Linguistics , vol.19 , Issue.4 , pp. 651-694
    • Moore, J.D.1    Paris, C.L.2
  • 15
    • 84937335325 scopus 로고    scopus 로고
    • ILEX: An architecture for a dynamic hypertext generation system
    • Mick ODonnell, Chris Mellish, Jon Oberlander, and Alistair Knott. 2001. ILEX: an architecture for a dynamic hypertext generation system. Natural Language Engineering. 7(3):225-250.
    • (2001) Natural Language Engineering , vol.7 , Issue.3 , pp. 225-250
    • Odonnell, M.1    Mellish, C.2    Oberlander, J.3    Knott, A.4
  • 16
    • 62549107437 scopus 로고    scopus 로고
    • Automatic generation of textual summaries from neonatal intensive care data
    • François Portet, Ehud Reiter, Albert Gatt, Jim Hunter, Somayajulu Sripada, Yvonne Freer and Cindy Sykes. 2009. Automatic generation of textual summaries from neonatal intensive care data. Artificial Intelligence 173(7-8): 789-816.
    • (2009) Artificial Intelligence , vol.173 , Issue.7-8 , pp. 789-816
    • Portet, F.1    Reiter, E.2    Gatt, A.3    Hunter, J.4    Sripada, S.5    Freer, Y.6    Sykes, C.7
  • 19
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Robert E. Schapire and Yoram Singer 2000 BoosTexter: A boosting-based system for text categorization. Machine Learning 39(2/3):135-168.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 22
    • 33847255382 scopus 로고    scopus 로고
    • Choosing the content of textual summaries of large time-series data sets
    • Jin Yu, Ehud Reiter and Jim Hunter. 2007 Choosing the content of textual summaries of large time-series data sets. Natural Language Engineering. 13:25-49.
    • (2007) Natural Language Engineering , vol.13 , pp. 25-49
    • Yu, J.1    Reiter, E.2    Hunter, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.