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» Deep belief nets for natural language call-routing
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IEEEICCI
2006
IEEE
14 years 3 months ago
SenseNet: A Knowledge Representation Model for Computational Semantics
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Ping Chen, Wei Ding 0003, Chengmin Ding
JAL
2008
83views more  JAL 2008»
13 years 9 months ago
Objective Bayesian probabilistic logic
This paper develops connections between objective Bayesian epistemology--which holds that the strengths of an agent's beliefs should be representable by probabilities, should...
Jon Williamson
JMLR
2012
12 years 7 days ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
ACL
2003
13 years 11 months ago
Recognizing Expressions of Commonsense Psychology in English Text
Many applications of natural language processing technologies involve analyzing texts that concern the psychological states and processes of people, including their beliefs, goals...
Andrew Gordon, Abe Kazemzadeh, Anish Nair, Milena ...
EMNLP
2006
13 years 11 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning