Detecting Action Items in Meetings

Gabriel Murray, Steve Renals

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationMachine Learning for Multimodal Interaction
Subtitle of host publication5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings
EditorsAndrei Popescu-Belis, Rainer Stiefelhagen
PublisherSpringer Berlin Heidelberg
Pages208-213
Number of pages6
ISBN (Electronic)978-3-540-85853-9
ISBN (Print)978-3-540-85852-2
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5237
ISSN (Print)0302-9743

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