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» Using n-best recognition output for extractive summarization...
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ICASSP
2010
IEEE
13 years 4 months ago
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech
There has been increasing interest recently in meeting understanding, such as summarization, browsing, action item detection, and topic segmentation. However, there is very limite...
Yang Liu, Shasha Xie, Fei Liu
CSL
2010
Springer
13 years 4 months ago
Improving supervised learning for meeting summarization using sampling and regression
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
Shasha Xie, Yang Liu
NAACL
2010
13 years 2 months ago
Using Confusion Networks for Speech Summarization
For extractive meeting summarization, previous studies have shown performance degradation when using speech recognition transcripts because of the relatively high speech recogniti...
Shasha Xie, Yang Liu
ICASSP
2008
IEEE
13 years 11 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie
MLMI
2007
Springer
13 years 10 months ago
Term-Weighting for Summarization of Multi-party Spoken Dialogues
This paper explores the issue of term-weighting in the genre of spontaneous, multi-party spoken dialogues, with the intent of using such term-weights in the creation of extractive ...
Gabriel Murray, Steve Renals