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Unity Is Strength: Coupling Media for Thematic Segmentation

  • Dalila Mekhaldi
  • Denis Lalanne
  • Rolf Ingold
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

In this paper we present the preliminary results and the evaluation of a combined thematic segmentation of (a) meeting documents and (b) meeting speech transcript. Our approach is based on a clustering method applied on a 2D representation of the thematic alignment, and then the projection of the extracted clusters on each axis, corresponding to meeting documents and the speech transcript. Finally, our bi-modal thematic segmentation method is evaluated, in regards to a mono-modal segmentation method (TextTiling).

Keywords

Segmentation Method Cluster Centroid Node Weight Speech Segment Coupling Medium 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Hadjar, K., Rigamonti, M., Lalanne, D., Ingold, R.: A new tool for eXtracting hidden structures from Electronic Documents. In: DIAL 2004, Palo Alto, CaliforniaGoogle Scholar
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    Hearst, M.: Multi-Paragraph Segmentation of Expository Text. In: Proceedings of the ACL 1994, Las Cruces, New Mexico (1994)Google Scholar
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    Lalanne, D., Mekhaldi, D., Ingold, R.: Talking about documents: revealing a missing link to multimedia meeting archives. In: Document Recognition and Retrieval XI, IS-T/SPIE’s International Symposium on Electronic Imaging 2004, USA (2004)Google Scholar
  5. 5.
    Mekhaldi, D., Lalanne, D., Ingold, R.: Thematic Alignment Of Recorded Speech With Documents. In: Proceedings of the 2003 ACM symposium on Document engineering, France (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Dalila Mekhaldi
    • 1
  • Denis Lalanne
    • 1
  • Rolf Ingold
    • 1
  1. 1.Université de FribourgFribourg

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