Extractive summarization based on word information and sentence position

Authors:
Carlos Méndez Cruz;Alfonso Medina Urrea
Affiliations:
GIL IINGEN UNAM, Coyoacán, DF, Mexico;GIL IINGEN UNAM, Coyoacán, DF, Mexico
Venue:
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2005

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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.