Abstract
Automatic summaries are often subject to several criticisms (e.g., lack of cohesion and coherence). In this paper, we propose an approach that uses coherent Summary-Schemas (templates) conceived from the rhetorical structure of scientific papers including their abstracts. The Summary-Schemas embed rhetorical roles specified by signatures (sets of positional, structural, linguistic and thematic features) that guide the search for appropriate sentences in the source text.
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References
Ben Hazez, S., Desclés, J.P., Minel, J.L., Modéle d’exploration contextuelle pour l’analyse sémantique des textes, In TALN, France (2001)
Berri, J., Cartier, E., Desclés, J. P., Jackiewicz, A., Minel, J. L., SAPHIR, un système automatique de filtrage de textes, In TALN’ 96, Marseille, France, (May 1996)
Ellouze, M., Ben Hamadou, A., Utilisation de schémas de résumés en vue d’améliorer la qualité des extraits et des résumés automatiques, In RIFRA’98, Sfax, Tunisie, (1998).
Ellouze, M., Ben Hamadou, A., Enhancing readability in automatic summaries by using schemas, In TSD’99, Pilsen, Czech, (September 1999)
Hahn, U., Concept-Oriented Summarising in the Text Condensation System TOPIC, In Intelligent Summarizing Text for Communications, Hannover, Germany, (11–13 /12/1993)
Kupiec, J., Pedersen, J., Chen, F., A trainable document summarizer, In SIGIR’ 95, Seattle WA, the USA (1995)
Paice, CD., Constructing literature abstracts by computers: Techniques and prospects, In Information Processing and Management, Vol. 31, N∘5, (1990)
Teufel, S., Moens, M., Sentence extraction and Rhetorical Classification for Flexible Abstracts. In AAAI Spring Symposium on Intelligent Text Summarization, Stanford, (1998)
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© 2002 Springer-Verlag Berlin Heidelberg
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Ellouze, M., Ben Hamadou, A. (2002). Relevant Information Extraction Driven with Rhetorical Schemas to Summarize Scientific Papers. In: Ranchhod, E., Mamede, N.J. (eds) Advances in Natural Language Processing. PorTAL 2002. Lecture Notes in Computer Science(), vol 2389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45433-0_17
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DOI: https://doi.org/10.1007/3-540-45433-0_17
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