A sequential model for discourse segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6008 LNCS, Issue , 2010, Pages 315-326

  Hernault, Hugo ^a   Bollegala, Danushka ^a   Ishizuka, Mitsuru ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TEXT SUMMARIZATION; CONDITIONAL RANDOM FIELD; DISCOURSE SEGMENTATION; F-SCORE; NATURAL LANGUAGE PROCESSING; PERFORMANCE LEVEL; QUESTION ANSWERING; RULE BASED; SEGMENTER; SEQUENTIAL DATA; SEQUENTIAL MODEL; SYNTACTIC FEATURES; TREEBANKS;

COMPUTATIONAL LINGUISTICS; IMAGE SEGMENTATION; NATURAL LANGUAGE PROCESSING SYSTEMS; WORD PROCESSING;

TEXT PROCESSING;

EID: 78650444122     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12116-6_26     Document Type: Conference Paper

References (20)

1. Marcu, D.: The Theory and Practice of Discourse Parsing and Summarization. MIT Press, Cambridge (2000)
2. Chai, J.Y., Jin, R.: Discourse structure for context question answering. In: Harabagiu, S., Lacatusu, F. (eds.) HLT-NAACL 2004: Workshop on Pragmatics of Question Answering, Boston, Massachusetts, USA, pp. 23-30. Association for Computational Linguistics (2004)
3. Hernault, H., Piwek, P., Prendinger, H., Ishizuka, M.: Generating dialogues for virtual agents using nested textual coherence relations. In: Prendinger, H., Lester, J.C., Ishizuka, M. (eds.) IVA 2008. LNCS (LNAI), vol. 5208, pp. 139-145. Springer, Heidelberg (2008)
4. Georg, G., Hernault, H., Cavazza, M., Prendinger, H., Ishizuka, M.: From rhetorical structures to document structure: shallow pragmatic analysis for document engineering. In: DocEng 2009, pp. 185-192. ACM, New York (2009)
5. Mann, W.C., Thompson, S.A.: Rhetorical structure theory: Toward a functional theory of text organization. Text 8, 243-281 (1988)
6. du Verle, D., Prendinger, H.: A novel discourse parser based on support vector machine classification. In: ACL 2009, Suntec, Singapore, pp. 665-673. Association for Computational Linguistics (2009)
7. Soricut, R., Marcu, D.: Sentence level discourse parsing using syntactic and lexical information. In: NAACL 2003, Morristown, NJ, USA, pp. 149-156. Association for Computational Linguistics (2003)
8. Vapnik, V.N.: The nature of statistical learning theory. Springer, New York (1995)
9. Carlson, L., Marcu, D., Okurowski, M.E.: Rst discourse treebank (2002)
10. Subba, R., Di Eugenio, B.: Automatic discourse segmentation using neural networks. In: Proceedings of the 11th Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy, pp. 189-190 (2007)
11. Le, H.T., Abeysinghe, G., Huyck, C.: Automated discourse segmentation by syntactic information and cue phrases. In: AIA 2004, Innsbruck, Austria (2004)
12. Tofiloski, M., Brooke, J., Taboada, M.: A syntactic and lexical-based discourse segmenter. In: ACL 2009, Suntec, Singapore, pp. 77-80. Association for Computational Linguistics (2009)
13. Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: ICML 2001, pp. 282-289. Morgan Kaufmann Publishers Inc., San Francisco (2001)
14. Okazaki, N.: Crfsuite: a fast implementation of conditional random fields, crfs (2007)
15. Ng, A.Y.: Feature selection, l1 vs. l2 regularization, and rotational invariance. In: ICML 2004, p. 78. ACM, New York (2004)
16. Magerman, D.M.: Statistical decision-tree models for parsing. In: ACL 1995, Morristown, NJ, USA, pp. 276-283. Association for Computational Linguistics (1995)
17. Marcus, M.P., Marcinkiewicz, M.A., Santorini, B.: Building a large annotated corpus of english: the penn treebank. Comput. Linguist. 19, 313-330 (1993)
18. Charniak, E.: A maximum-entropy-inspired parser. In: NAACL 2000, pp. 132-139. Morgan Kaufmann Publishers Inc., San Francisco (2000)
19. Klein, D., Manning, C.D.: Fast exact inference with a factored model for natural language parsing. In: Advances in Neural Information Processing Systems, vol. 15. MIT Press, Cambridge (2003)
20. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001), http://www.csie.ntu.edu.tw/~cjlin/libsvm