Estimating risk of picking a sentence for document summarization

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Abstract

Automatic Document summarization is proving to be an increasingly important task to overcome the information overload. The primary task of document summarization process is to pick subset of sentences as a representative of whole document set. We treat this as a decision making problem and estimate the risk involve in making this decision. We calculate the risk of information loss associated with each sentence and extract sentences based on ascending order of their risk. The experimental result shows that the proposed approach performs better than various state of the art approaches. © Springer-Verlag Berlin Heidelberg 2009.

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APA

Kumar, C., Pingali, P., & Varma, V. (2009). Estimating risk of picking a sentence for document summarization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5449 LNCS, pp. 571–581). https://doi.org/10.1007/978-3-642-00382-0_46

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