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» Hierarchical summarization of large documents
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SAB
2010
Springer
189views Optimization» more  SAB 2010»
13 years 7 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
ACL
2004
13 years 11 months ago
Discovering Relations among Named Entities from Large Corpora
Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior method...
Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman
SIGIR
1999
ACM
14 years 1 months ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
GIS
2007
ACM
14 years 10 months ago
Hierarchical photo organization using geo-relevance
We present a novel framework for organizing large collections of images in a hierarchical way, based on scene semantics. Rather than score images directly, we use them to score th...
Boris Epshtein, Eyal Ofek, Yonatan Wexler, Pusheng...
WWW
2003
ACM
14 years 10 months ago
Functionality-Based Web Image Categorization
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. Id...
Jianying Hu, Amit Bagga