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The Annotation and Analysis of Importance in Meetings
International Computer Science Institute, University of California, Berkeley, USA.ORCID iD: 0000-0003-3734-0757
Computer & Information Sciences, Minnesota State University, Mankato, MN, USA.
Computer & Information Sciences, Minnesota State University, Mankato, MN, USA.
Computer & Information Sciences, Minnesota State University, Mankato, MN, USA.
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2006 (English)Report (Other academic)
Abstract [en]

Meetings typically contain important regions that are likely to be the focus of summarization and recall requests. We present a new approach for labeling speech corpora with categories of importance at the level of utterance groups; these labels may help to identify focus regions for browsing, summarization, or question-answering. We ask whether importance can be consistently labeled by humans with the idea that these regionsmight be used to improve speech understanding and automatic summarization of speechand text. We present information about related annotation schemes for high-level speech labeling, including the relationship between this labeling scheme and pre-existing labels at the levels of utterances and groups of utterances. We provide a summary of the annotation system and labeling procedure, as well as preliminary inter-annotator reliability statistics on the ICSI Meeting Recorder Corpus.

Place, publisher, year, edition, pages
International Computer Science Institute, Berkeley, CA, USA , 2006. , p. 8
Series
ICSI Technical Report ; TR-06-003
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:liu:diva-135093OAI: oai:DiVA.org:liu-135093DiVA, id: diva2:1079479
Available from: 2017-03-08 Created: 2017-03-08 Last updated: 2018-01-13Bibliographically approved

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Eklund_et_al_2006_ICSI-TR-06-003_Meeting_Analysis.pdf(145 kB)18 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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