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Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features
Toronto, ON, Canada July 09-July 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2006.2626002006 IEEE International Conference on ...
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Xiaodan Zhu, Gerald Penn, "Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features," Multimedia and Expo, IEEE International Conference on, pp. 793-796, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
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@article{ 10.1109/ICME.2006.262600,
author = {Xiaodan Zhu and Gerald Penn},
title = {Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {793-796},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262600},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features
SN - 1-4244-0366-7
SP793
EP796
A1 - Xiaodan Zhu,
A1 - Gerald Penn,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Xiaodan Zhu, Department of Computer Science, Univerisity of Toronto, 10 Kings College Rd., Toronto, Canada
Gerald Penn, Department of Computer Science, Univerisity of Toronto, 10 Kings College Rd., Toronto, Canada
To identify important utterances from open-domain spontaneous conversations, previous work has focused on using textual features that are extracted from transcripts, e.g., word frequencies and noun senses. In this paper, we summarize spontaneous conversations with features of a wide variety that have not been explored before. Experiments show that the use of speech-related features improves summarization performance. In addition, the effectiveness of individual features is examined and compared.
Citation:
Xiaodan Zhu, Gerald Penn, "Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features," icme, pp.793-796, 2006 IEEE International Conference on Multimedia and Expo, 2006
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