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» Learning to Extract Content from News Webpages
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CVPR
2009
IEEE
15 years 2 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
PRL
2008
181views more  PRL 2008»
13 years 8 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
JASIS
1998
99views more  JASIS 1998»
13 years 8 months ago
Electronic News Delivery Project
An appreciation of the roles of genre and task is important in understanding how people browse the Web. Genre is characterized by content and form and is intimately linked to the ...
Carolyn R. Watters, Michael A. Shepherd, Forbes J....
ICDAR
2003
IEEE
14 years 1 months ago
Identifying Story and Preview Images in News Web Pages
The World Wide Web provides an increasingly powerful and popular publication mechanism. Web documents often contain a large number of images serving various different purposes. Th...
Jianying Hu, Amit Bagga
WOA
2007
13 years 9 months ago
News Retrieval through a MultiAgent System
— The continuous growth of information sources on the web, together with the corresponding volume of dailyupdated contents, makes the problem of finding news and articles a chal...
Andrea Addis, Giuliano Armano, Francesco Mascia, E...