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» Global Learning of Typed Entailment Rules
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ACL
2011
8 years 3 months ago
Global Learning of Typed Entailment Rules
Jonathan Berant, Ido Dagan, Jacob Goldberger
EPIA
2009
Springer
9 years 6 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Diļ¬€erent types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
CICLING
2008
Springer
9 years 1 months ago
Natural Language as the Basis for Meaning Representation and Inference
Abstract. Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on logical representatio...
Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Green...
FORTE
2008
9 years 1 months ago
Distributed Semantics and Implementation for Systems with Interaction and Priority
The paper studies a distributed implementation method for the BIP (Behavior, Interaction, Priority) component framework for modeling heterogeneous systems. BIP offers two powerful ...
Ananda Basu, Philippe Bidinger, Marius Bozga, Jose...
ICIP
2005
IEEE
10 years 1 months ago
Learning to binarize document images using a decision cascade
In this article, we propose a special type of decision tree, called a decision cascade, for binarizing document images. Such images are produced by cameras, resulting in varying de...
Chien-Hsing Chou, Chih-Ching Huang, Wen-Hsiung Lin...
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