Abstract
This paper presents DiZer, an automatic DIscourse analyZER for Brazilian Portuguese. Given a source text, the system automatically produces its corresponding rhetorical analysis, following Rhetorical Structure Theory – RST [1]. A rhetorical repository, which is DiZer main component, makes the automatic analysis possible. This repository, produced by means of a corpus analysis, includes discourse analysis patterns that focus on knowledge about discourse markers, indicative phrases and words usages. When applicable, potential rhetorical relations are indicated. A preliminary evaluation of the system is also presented.
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References
Mann, W.C., Thompson, S.A.: Rhetorical Structure Theory: A Theory of Text Organization. Technical Report ISI/RS-87-190 (1987)
Marcu, D.: The Theory and Practice of Discourse Parsing and Summarization. The MIT Press, Cambridge (2000)
O’Donnell, M.: Variable-Length On-Line Document Generation. In: The Proceedings of the 6th European Workshop on Natural Language Generation, Duisburg, Germany (1997)
Cristea, D., Ide, N., Romary, L.: Veins Theory. An Approach to Global Cohesion and Coherence. In: The Proceedings of Coling/ACL, Montreal (1998)
Schauer, H.: Referential Structure and Coherence Structure. In: The Proceedings of TALN, Lausanne, Switzerland (2000)
Marcu, D.: The Rhetorical Parsing, Summarization, and Generation of Natural Language Texts. PhD Thesis, Department of Computer Science, University of Toronto (1997)
Marcu, D., Echihabi, A.: An Unsupervised Approach to Recognizing Discourse Relations. In: The Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002), Philadelphia, PA (2002)
Soricut, R., Marcu, D.: Sentence Level Discourse Parsing using Syntactic and Lexical Information. In: The Proceedings of the Human Language Technology and North American Association for Computational Linguistics Conference (HLT/NAACL), Edmonton, Canada (2003)
Corston-Oliver, S.: Computing Representations of the Structure of Written Discourse. PhD Thesis, University of California, Santa Barbara, CA, USA (1998)
Feltrim, V.D., Aluísio, S.M., Nunes, M.G.V.: Analysis of the Rhetorical Structure of Computer Science Abstracts in Portuguese. In: The Proceedings of Corpus Linguistics (2003)
Pardo, T.A.S., Rino, L.H.M.: DMSumm: Review and assessment. In: Ranchhod, E., Mamede, N.J. (eds.) PorTAL 2002. LNCS (LNAI), vol. 2389, pp. 263–273. Springer, Heidelberg (2002)
Aluísio, S.M., Oliveira Jr., O.N.: A Case-Based Approach for Developing Writing Tools Aimed at Non-native English Users. In: Aamodt, A., Veloso, M.M. (eds.) ICCBR 1995. LNCS, vol. 1010, pp. 121–132. Springer, Heidelberg (1995)
Aluísio, S.M., Barcelos, I., Sampaio, J., Oliveira Jr., O.N.: How to Learn the Many Unwritten Rules of the Game of the Academic Discourse: A Hybrid Approach Based on Critiques and Cases to Support Scientific Writing. In: The Proceedings of the IEEE International Conference on Advanced Learning Technologies, vol. 1, pp. 257–260. IEEE Computer Society, Madison (2001)
Rino, L.H.M., Scott, D.: A Discourse Model for Gist Preservation. In: The Proceedings of the XIII Brazilian Symposium on Artificial Intelligence (SBIA 1996), Curitiba - PR, Brasil (1996)
Carlson, L., Marcu, D.: Discourse Tagging Reference Manual. ISI Technical Report ISI-TR-545 (2001)
O’Donnell, M.: RST-Tool: An RST Analysis Tool. In: The Proceedings of the 6th European Workshop on Natural Language Generation. Gerhard-Mercator University, Duisburg, Germany (1997)
Pardo, T.A.S. e Nunes, M.G.V.: A Construção de um Corpus de Textos Científicos em Português do Brasil e sua Marcação Retórica. Série de Relatórios Técnicos do Instituto de Ciências Matemáticas e de Computação - ICMC, Universidade de São Paulo, 212 (2003)
Pardo, T.A.S. e Nunes, M.G.V.: Relações Retóricas e seus Marcadores Superficiais: Análise de um Corpus de Textos Científicos em Português do Brasil. Relatório Técnico NILC-TR-04-03. Série de Relatórios do NILC, ICMC-USP (2004).
Aires, R.V.X., Aluísio, S.M., Kuhn, D.C.S., Andreeta, M.L.B., Oliveira Jr., O.N.: Combining Multiple Classifiers to Improve Part of Speech Tagging: A Case Study for Brazilian Portuguese. In: The Proceedings of the Brazilian AI Symposium (SBIA 2000), pp. 20–22 (2000)
Martins, R.T., Montilha, G., Rino, L.H.M., Nunes, M.G.V.: Dos Modelos de Resolução da Ambigüidade Categorial: O Problema do SE. In: The Proceedings do IV Encontro para o Processamento Computacional da Língua Portuguesa Escrita e Falada, PROPOR 1999, Évora, Portugal, pp. 115–128 (1999)
Pereira, F.C.N., Warren, D.H.D.: Definite Clause Grammars for Language Analysis – A Survey of the Formalism and Comparison with Augmented Transition Networks. Artificial Intelligence 13, 231–278 (1980)
Schilder, F.: Robust discourse parsing via discourse markers, topicality and position. In: Tait, J., Boguraev, B.K., Jacquemin, C. (eds.) Natural Language Engineering, Cambridge University Press, Cambridge (2002)
Sumita, K., Ono, K., Chino, T., Ukita, T., Amano, S.: A discourse structure analyzer for Japonese text. In: The Proceedings of the International Conference on Fifth Generation Computer Systems, Tokyo, Japan, vol. 2, pp. 1133–1140 (1992)
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Pardo, T.A.S., das Graças Volpe Nunes, M., Rino, L.H.M. (2004). DiZer: An Automatic Discourse Analyzer for Brazilian Portuguese. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_23
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DOI: https://doi.org/10.1007/978-3-540-28645-5_23
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