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Volumn 1, Issue , 2012, Pages 60-68

Text-level discourse parsing with rich linguistic features

Author keywords

[No Author keywords available]

Indexed keywords

DISCOURSE PARSERS; DISCOURSE PARSING; LINGUISTIC FEATURES;

EID: 84867640779     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (147)

References (21)
  • 6
    • 79952272600 scopus 로고    scopus 로고
    • A semi-supervised approach to improve classification of infrequent discourse relations using feature vector extension
    • Cambridge, MA, October, Association for Computational Linguistics
    • Hugo Hernault, Danushka Bollegala, and Mitsuru Ishizuka. 2010a. A semi-supervised approach to improve classification of infrequent discourse relations using feature vector extension. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 399-409, Cambridge, MA, October. Association for Computational Linguistics.
    • (2010) Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing , pp. 399-409
    • Hernault, H.1    Bollegala, D.2    Ishizuka, M.3
  • 7
    • 84856495537 scopus 로고    scopus 로고
    • Hilda: A discourse parser using support vector machine classification
    • Hugo Hernault, Helmut Prendinger, David A. duVerle, and Mitsuru Ishizuka. 2010b. HILDA: A discourse parser using support vector machine classification. Dialogue and Discourse, 1(3):1-33.
    • (2010) Dialogue and Discourse , vol.1 , Issue.3 , pp. 1-33
    • Hernault, H.1    Prendinger, H.2    Duverle, D.A.3    Ishizuka, M.4
  • 8
  • 9
    • 84937307713 scopus 로고
    • Using linguistic phenomena to motivate a set of coherence relations
    • Alistair Knott and Robert Dale. 1994. Using linguistic phenomena to motivate a set of coherence relations. Discourse Processes, 18(1).
    • (1994) Discourse Processes , vol.18 , Issue.1
    • Knott, A.1    Dale, R.2
  • 13
    • 84961480199 scopus 로고
    • Rhetorical structure theory: Toward a functional theory of text organization
    • William Mann and Sandra Thompson. 1988. Rhetorical structure theory: Toward a functional theory of text organization. Text, 8(3):243-281.
    • (1988) Text , vol.8 , Issue.3 , pp. 243-281
    • Mann, W.1    Thompson, S.2
  • 14
    • 85138378706 scopus 로고    scopus 로고
    • An unsupervised approach to recognizing discourse relations
    • Philadelphia, Pennsylvania, USA, July, Association for Computational Linguistics
    • Daniel Marcu and Abdessamad Echihabi. 2002. An unsupervised approach to recognizing discourse relations. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, pages 368-375, Philadelphia, Pennsylvania, USA, July. Association for Computational Linguistics.
    • (2002) Proceedings of 40th Annual Meeting of the Association for Computational Linguistics , pp. 368-375
    • Marcu, D.1    Echihabi, A.2
  • 17
    • 47749134458 scopus 로고    scopus 로고
    • Simple signals for complex rhetorics: On rhetorical analysis with rich-feature support vector models
    • David Reitter. 2003. Simple signals for complex rhetorics: On rhetorical analysis with rich-feature support vector models. LDV Forum, 18(1/2):38-52.
    • (2003) LDV Forum , vol.18 , Issue.1-2 , pp. 38-52
    • Reitter, D.1
  • 18
    • 78650192154 scopus 로고    scopus 로고
    • Analysis of discourse structure with syntactic dependencies and data-driven shift-reduce parsing
    • Kenji Sagae. 2009. Analysis of discourse structure with syntactic dependencies and data-driven shift-reduce parsing. In Proceedings of the 11th International Conference on Parsing Technologies, pages 81-84.
    • (2009) Proceedings of the 11th International Conference on Parsing Technologies , pp. 81-84
    • Sagae, K.1
  • 21
    • 13944283417 scopus 로고    scopus 로고
    • D-LTAG: Extending lexicalized tag to discourse
    • Bonnie Webber. 2004. D-LTAG: Extending lexicalized TAG to discourse. Cognitive Science, 28(5):751-779.
    • (2004) Cognitive Science , vol.28 , Issue.5 , pp. 751-779
    • Webber, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.