Abstract
This paper describes an unsupervised experiment of automatic summarization. The idea is to rate each sentence of a document according to the information content of its graphical words. Also, as a minimal measure of document structure, we added a sentence position coefficient.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Saggion, H., Gaizauskas, R.: Multi-document summarization by cluster/profile relevance and redundancy removal. In: DUC (2004)
Jaoua, M., Ben Hamadou, A.: Automatic text summarization of scientific articles based on classification of extract’s population. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588. Springer, Heidelberg (2003)
Song, Y.I., Han, K.S., Rim, H.C.: A Term Weighting Method based on Lexical Chain for Automatic Summarization. LNCS, pp. 636–639. Springer, Heidelberg (2004)
Medina, A., Sierra, G., Garduño, G., Méndez, C., Saldaña, R.: CLI: An Open Linguistic Corpus for Engineering. In: IBERAMIA, pp. 203–205 (2004)
Ravindra, G., Balakrishnan, N., Ramakrishnan, K.R.: Multi-Document Automatic Text Summarization Using Entropy Estimates. In: Van Emde Boas, P., Pokorný, J., Bieliková, M., Štuller, J. (eds.) SOFSEM 2004. LNCS, vol. 2932, pp. 289–300. Springer, Heidelberg (2004)
Park, H.R., Han, Y.S., Kim, T.H.: Heuristic algorithms for automatic summarization of Korean texts. In: Online Proceedings ICCS/JCSS 1999 (1999)
Hovy, E.: Text Summarization. In: The Oxford Handbook of Computational Linguistics, pp. 583–598. Oxford UP, Oxford (2003)
Spark Jones, K.: Automatic summarizing: factors and directions. In: Advances in automatic summarization, pp. 1–15. MIT, Cambridge (1999)
Gelbukh, A., Sidorov, G.: Morphological Analysis of Inflective Languages through Generation. In: Procesamiento de Lenguaje Natural, pp. 105–112 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cruz, C.M., Urrea, A.M. (2005). Extractive Summarization Based on Word Information and Sentence Position. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_73
Download citation
DOI: https://doi.org/10.1007/978-3-540-30586-6_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
eBook Packages: Computer ScienceComputer Science (R0)