Abstract
The Enertex system is based on a statistical physics approach. It transforms a document on a spins (words present/absent) system. A summary is obtained using the sentences with large spins interactions. In another way, the Cortex system is constructed of several different sentence selection metrics and a decision module. Our experiments have shown that the Cortex decision on the metrics always scores better than each system alone. In the INEX@QA 2011 Question Answering Track, the strategy used by Cortex system obtains very good results in automatic evaluations FRESA.
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References
ANSI. American National Standard for Writing Abstracts. Technical report, American National Standards Institute, Inc., New York, NY (ANSI Z39.14.1979) (1979)
Torres-Moreno, J.M.: Resume automatique de documents: une approche statistique. Hermes-Lavoisier (2011)
Luhn, H.P.: The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development 2(2), 159 (1958)
Edmundson, H.P.: New Methods in Automatic Extracting. Journal of the ACM (JACM) 16(2), 264–285 (1969)
Mani, I., Mayburi, M.: Advances in automatic text summarization. The MIT Press, U.S.A. (1999)
Salton, G.: The SMART Retrieval System - Experiments un Automatic Document Processing, Englewood Cliffs (1971)
Salton, G., McGill, M.: Introduction to Modern Information Retrieval. McGraw-Hill (1983)
Torres-Moreno, J.M., Velazquez-Morales, P., Meunier, J.: Condensés automatiques de textes. In: Lexicometrica. L’analyse de Données Textuelles: De l’enquéte aux Corpus Littéraires (2004), www.cavi.univ-paris3.fr/lexicometrica
Jacquemin, C., Zweigenbaum, P.: Traitement automatique des langues pour l’accès au contenu des documents. Le Document en Sciences du Traitement de l’Information 4, 71–109 (2000)
Abracos, J., Lopes, G.P.: Statistical Methods for Retrieving Most Significant Paragraphs in Newspaper Articles. In: Mani, I., Maybury, M.T. (eds.) ACL/EACL 1997-WS, Madrid, Spain, July 11 (1997)
Teufel, S., Moens, M.: Sentence Extraction as a Classification Task. In: Mani, I., Maybury, M.T. (eds.) ACL/EACL 1997-WS, Madrid, Spain (1997)
Hovy, E., Lin, C.Y.: Automated Text Summarization in SUMMARIST. In: Mani, I., Maybury, M.T. (eds.) Advances in Automatic Text Summarization, pp. 81–94. The MIT Press (1999)
Kupiec, J., Pedersen, J.O., Chen, F.: A Trainable Document Summarizer. In: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 68–73 (1995)
Tombros, A., Sanderson, M., Gray, P.: Advantages of Query Biased Summaries in Information Retrieval. In: Hovy, E., Radev, D.R. (eds.) AAAI 1998-S, March 23-25, pp. 34–43. The AAAI Press, Stanford, California, USA (1998)
Schlesinger, J.D., Backer, D.J., Donway, R.L.: Using Document Features and Statistical Modeling to Improve Query-Based Summarization. In: DUC 2001, New Orleans, LA (2001)
Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds.): INEX 2010. LNCS, vol. 6932. Springer, Heidelberg (2011)
Torres-Moreno, J.M., Velazquez-Moralez, P., Meunier, J.: CORTEX, un algorithme pour la condensation automatique de textes. In: ARCo, vol. 2, p. 365 (2005)
Torres-Moreno, J.M., St-Onge, P.L., Gagnon, M., El-Bèze, M., Bellot, P.: Automatic summarization system coupled with a question-answering system (qaas). In: CoRR, abs/0905.2990 (2009)
Torres-Moreno, J.M., Velazquez-Morales, P., Meunier, J.G.: Condensés de textes par des méthodes numériques. JADT 2, 723–734 (2002)
Fernández, S., SanJuan, E., Torres-Moreno, J.-M.: Textual Energy of Associative Memories: Performant Applications of Enertex Algorithm in Text Summarization and Topic Segmentation. In: Gelbukh, A., Kuri Morales, Á.F. (eds.) MICAI 2007. LNCS (LNAI), vol. 4827, pp. 861–871. Springer, Heidelberg (2007)
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Torres-Moreno, JM., Velázquez-Morales, P., Gagnon, M. (2012). Statistical Summarization at QA@INEX 2011 Track Using Cortex and Enertex Systems. In: Geva, S., Kamps, J., Schenkel, R. (eds) Focused Retrieval of Content and Structure. INEX 2011. Lecture Notes in Computer Science, vol 7424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35734-3_23
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DOI: https://doi.org/10.1007/978-3-642-35734-3_23
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