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Exploring the Structure of Broadcast News for Topic Segmentation

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This paper describes our on-going work toward the improvement of Broadcast News story segmentation module。 We have tried to improve our baseline algorithm by further exploring the typical structure of a broadcast news show， first by training a CART and then by integrating it in a 2-stage algorithm that is able to deal with shows with double anchors。 In order to deal with shows with a thematic anchor， a more complex approach is adopted including a topic classification stage。 The automatic segmentation is currently being compared with the manual segmentation done by a professional media watch company。 The results are very promising so far， specially taking into account that no video information is used。

topic segmentation

Rui Amaral、Isabel Trancoso

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Instituto Superior Tecnico Instituto Politecnico de Setubal L~2F - Spoken Language Systems Lab, INESC-ID Portugal

Instituto Superior Tecnico L~2F - Spoken Language Systems Lab, INESC-ID Portugal

Language and technology conference;LTC 2007

Poznan(PL);Poznan(PL)

Human language technology : Challenges of the information society

1-12

2007