Abstract
This paper discusses an approach to generate headline summary from a set of documents. Headline summary is basically a very short summary in the form of headline. As the amount of on-line information increases, systems that can automatically summarize multiple documents are becoming increasingly desirable. In this situation, headline summary is useful for users who only need information on the main topics in a set of documents. Headline summary from multiple documents will be very useful in the text mining applications for the generation of meaningful label (a compact identifier that allows a person to quickly see what the topic is about) for a cluster of documents.
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Sarkar, K., Bandyopadhyay, S. (2005). Generating Headline Summary from a Document Set. 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_72
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DOI: https://doi.org/10.1007/978-3-540-30586-6_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
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