The Impact of ASR on Abstractive vs. Extractive Meeting Summaries

被引：0
|
作者：
Murray, Gabriel [1 ]
Carenini, Giuseppe [1 ]
Ng, Raymond [1 ]
机构：
[1] Univ British Columbia, Dept Comp Sci, Vancouver, BC V5Z 1M9, Canada
来源：
11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 3 AND 4 | 2010年
关键词：
summarization; automatic speech recognition; abstraction; extraction; evaluation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper we describe a complete abstractive summarizer for meeting conversations, and evaluate the usefulness of the automatically generated abstracts in a browsing task. We contrast these abstracts with extracts for use in a meeting browser and investigate the effects of manual versus ASR transcripts on both summary types.
引用
收藏
页码：1688 / 1691
页数：4
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