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Meta Comments for Summarizing Meeting Speech

  • Gabriel Murray
  • Steve Renals
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5237)

Abstract

This paper is about the extractive summarization of meeting speech, using the ICSI and AMI corpora. In the first set of experiments we use prosodic, lexical, structural and speaker-related features to select the most informative dialogue acts from each meeting, with the hypothesis being that such a rich mixture of features will yield the best results. In the second part, we present an approach in which the identification of “meta-comments” is used to create more informative summaries that provide an increased level of abstraction. We find that the inclusion of these meta comments improves summarization performance according to several evaluation metrics.

Keywords

Feature Subset Automatic Speech Recognition Prosodic Feature Summarization System Automatic Summarization 
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 2008

Authors and Affiliations

  • Gabriel Murray
    • 1
  • Steve Renals
    • 2
  1. 1.University of British ColumbiaVancouverCanada
  2. 2.University of EdinburghEdinburghScotland

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