osborne2002using Using maximum entropy for sentence extraction

Osborne, M. (2002). Using maximum entropy for sentence extraction. In Proceedings of the ACL'02 Workshop on Automatic Summarization, pages 1-8, Morristown, NJ, USA.

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[das2007survey]"Osborne (2002) claims that existing approaches to summarization have always assumed feature independence. The author used log-linear models to obviate this assumption and showed empirically that the system produced better extracts than a naive-Bayes model, with a prior appended to both models. Let c be a label, s the item we are interested in labeling, fi the i-th feature, and i the corresponding feature weight. The conditional log-linear model used by Osborne (2002) can be stated as follows: ... dst"
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