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Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings

  • Matthias Zimmermann
  • Yang Liu
  • Elizabeth Shriberg
  • Andreas Stolcke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3869)

Abstract

We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based on word information are investigated and compared with previous work on the same task. We also describe several metrics to assess the quality of the segmentation alone as well as the joint performance of segmentation and classification of DAs.

Keywords

Hide Markov Model Word Error Rate Match Error Segmentation Performance Sentence Boundary 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Matthias Zimmermann
    • 1
  • Yang Liu
    • 1
  • Elizabeth Shriberg
    • 1
    • 2
  • Andreas Stolcke
    • 1
    • 2
  1. 1.International Computer Science InstituteUSA
  2. 2.SRI InternationalUSA

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