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ICASSP
2008
IEEE
14 years 4 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
WWW
2011
ACM
13 years 4 months ago
Generalized fact-finding
Once information retrieval has located a document, and information extraction has provided its contents, how do we know whether we should actually believe it? Fact-finders are a ...
Jeff Pasternack, Dan Roth
WWW
2006
ACM
14 years 10 months ago
POLYPHONET: an advanced social network extraction system from the web
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction syst...
Hideaki Takeda, Junichiro Mori, Kôiti Hasida...
CIKM
2009
Springer
14 years 4 months ago
The impact of document structure on keyphrase extraction
Keyphrases are short phrases that reflect the main topic of a document. Because manually annotating documents with keyphrases is a time-consuming process, several automatic appro...
Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten...
DOCENG
2009
ACM
14 years 4 months ago
Web document text and images extraction using DOM analysis and natural language processing
: © Web Document Text and Images Extraction using DOM Analysis and Natural Language Processing Parag Mulendra Joshi, Sam Liu HP Laboratories HPL-2009-187 Web page text extraction,...
Parag Mulendra Joshi, Sam Liu