Detecting Action Items in Meetings

Gabriel Murray; Steve Renals

doi:10.1007/978-3-540-85853-9_19

Detecting Action Items in Meetings

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

We present a method for detecting action items in spontaneous meeting speech. Using a supervised approach incorporating prosodic, lexical and structural features, we can classify such items with a high degree of accuracy. We also examine how well various feature subclasses can perform this task on their own.

Original language	English
Title of host publication	Machine Learning for Multimodal Interaction
Subtitle of host publication	5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings
Editors	Andrei Popescu-Belis, Rainer Stiefelhagen
Publisher	Springer
Pages	208-213
Number of pages	6
ISBN (Electronic)	978-3-540-85853-9
ISBN (Print)	978-3-540-85852-2
DOIs	https://doi.org/10.1007/978-3-540-85853-9_19
Publication status	Published - 2008

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	5237
ISSN (Print)	0302-9743

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10.1007/978-3-540-85853-9_19

Detecting Action Items in MeetingsAccepted author manuscript, 80.3 KB

http://link.springer.com/chapter/10.1007%2F978-3-540-85853-9_19

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Murray, G., & Renals, S. (2008). Detecting Action Items in Meetings. In A. Popescu-Belis, & R. Stiefelhagen (Eds.), Machine Learning for Multimodal Interaction: 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings (pp. 208-213). (Lecture Notes in Computer Science; Vol. 5237). Springer. https://doi.org/10.1007/978-3-540-85853-9_19

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title = "Detecting Action Items in Meetings",

abstract = "We present a method for detecting action items in spontaneous meeting speech. Using a supervised approach incorporating prosodic, lexical and structural features, we can classify such items with a high degree of accuracy. We also examine how well various feature subclasses can perform this task on their own.",

author = "Gabriel Murray and Steve Renals",

year = "2008",

doi = "10.1007/978-3-540-85853-9_19",

language = "English",

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pages = "208--213",

editor = "Andrei Popescu-Belis and Rainer Stiefelhagen",

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Detecting Action Items in Meetings. / Murray, Gabriel; Renals, Steve.
Machine Learning for Multimodal Interaction: 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings. ed. / Andrei Popescu-Belis; Rainer Stiefelhagen. Springer, 2008. p. 208-213 (Lecture Notes in Computer Science; Vol. 5237).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Detecting Action Items in Meetings

AU - Murray, Gabriel

AU - Renals, Steve

PY - 2008

Y1 - 2008

N2 - We present a method for detecting action items in spontaneous meeting speech. Using a supervised approach incorporating prosodic, lexical and structural features, we can classify such items with a high degree of accuracy. We also examine how well various feature subclasses can perform this task on their own.

AB - We present a method for detecting action items in spontaneous meeting speech. Using a supervised approach incorporating prosodic, lexical and structural features, we can classify such items with a high degree of accuracy. We also examine how well various feature subclasses can perform this task on their own.

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DO - 10.1007/978-3-540-85853-9_19

M3 - Conference contribution

SN - 978-3-540-85852-2

T3 - Lecture Notes in Computer Science

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EP - 213

BT - Machine Learning for Multimodal Interaction

A2 - Popescu-Belis, Andrei

A2 - Stiefelhagen, Rainer

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Detecting Action Items in Meetings

Abstract / Description of output

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