Abstract
This paper describes our on-going work on the topic segmentation module of a media watch system. The current version explores not only the typical structure of a broadcast news show, but also its contents, which are automatically produced by the speech recognition module, and the topic indexation module. The performance of the automatic topic segmentation module was compared with the manual segmentation done by a professional media watch company, yielding quite satisfactory results.
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Amaral, R., Trancoso, I.: Exploring the structure of broadcast news for topic segmentation. In: Proc. LTC 2007, Poznan, Poland (October 2007)
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Amaral, R., Trancoso, I. (2008). Topic Segmentation in a Media Watch System. In: Teixeira, A., de Lima, V.L.S., de Oliveira, L.C., Quaresma, P. (eds) Computational Processing of the Portuguese Language. PROPOR 2008. Lecture Notes in Computer Science(), vol 5190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85980-2_37
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DOI: https://doi.org/10.1007/978-3-540-85980-2_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85979-6
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