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» A Trainable Document Summarizer
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ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen
DNIS
2005
Springer
102views Database» more  DNIS 2005»
14 years 1 months ago
An Improved Approach to Extract Document Summaries Based on Popularity
With the rapid growth of the Internet, most of the textual data in the form of newspapers, magazines and journals tend to be available on-line. Summarizing these texts can aid the...
P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao,...
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
13 years 11 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper
JAIR
2007
118views more  JAIR 2007»
13 years 7 months ago
Individual and Domain Adaptation in Sentence Planning for Dialogue
One of the biggest challenges in the development and deployment of spoken dialogue systems is the design of the spoken language generation module. This challenge arises from the n...
Marilyn A. Walker, Amanda Stent, François M...
ACL
2011
12 years 11 months ago
A Class of Submodular Functions for Document Summarization
We design a class of submodular functions meant for document summarization tasks. These functions each combine two terms, one which encourages the summary to be representative of ...
Hui Lin, Jeff Bilmes