Extractive summarization based on word information and sentence position

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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. © Springer-Verlag Berlin Heidelberg 2005.

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Cruz, C. M., & Urrea, A. M. (2005). Extractive summarization based on word information and sentence position. In Lecture Notes in Computer Science (Vol. 3406, pp. 653–656). Springer Verlag. https://doi.org/10.1007/978-3-540-30586-6_73

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