ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

Identifying relevant phrases to summarize decisions in spoken meetings

Raquel Fernandez, Matthew Frampton, John Dowding, Anish Adukuzhiyil, Patrick Ehlen, Stanley Peters

We address the problem of identifying words and phrases that accurately capture, or contribute to, the semantic gist of decisions made in multi-party human-human meetings. We first describe our approach to modelling decision discussions in spoken meetings and then compare two approaches to extracting information from these discussions. The first one uses an open-domain semantic parser that identifies candidate phrases for decision summaries and then employs machine learning techniques to select from those candidate phrases. The second one uses categorical and sequential classifiers that exploit simple syntactic and semantic features to identify words and phrases relevant for decision summarization.

doi: 10.21437/Interspeech.2008-17

Cite as: Fernandez, R., Frampton, M., Dowding, J., Adukuzhiyil, A., Ehlen, P., Peters, S. (2008) Identifying relevant phrases to summarize decisions in spoken meetings. Proc. Interspeech 2008, 78-81, doi: 10.21437/Interspeech.2008-17

  author={Raquel Fernandez and Matthew Frampton and John Dowding and Anish Adukuzhiyil and Patrick Ehlen and Stanley Peters},
  title={{Identifying relevant phrases to summarize decisions in spoken meetings}},
  booktitle={Proc. Interspeech 2008},