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.
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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
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DOI: https://doi.org/10.1007/978-3-540-30586-6_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
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