Abstract
In this paper we present a system that creates a headline summary for a newspaper article. We present an approach that constructs a headline by selecting the most important portion of the text, then reducing it using linguistic compression techniques. The compression is grammatical and retains the most important pieces of information, leaving it readable. In addition, we present experimental results that demonstrate the effectiveness of our approach.
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Chali, Y., Kolla, M. (2005). Producing Headline Summaries for Newspaper Articles. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_45
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DOI: https://doi.org/10.1007/11424918_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25864-3
Online ISBN: 978-3-540-31952-8
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