Edinburgh Research Explorer

Meta Comments for Summarizing Meeting Speech

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

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
Pages236-247
Number of pages12
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

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.

Download statistics

No data available

ID: 14902699