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NIPS
2000
13 years 11 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
AAAI
1994
13 years 11 months ago
Parsing Embedded Clauses with Distributed Neural Networks
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
Risto Miikkulainen, Dennis Bijwaard
ACL
1994
13 years 11 months ago
Priority Union and Generalization in Discourse Grammars
We describe an implementation in Carpenter's typed feature formalism, ALE, of a discourse grammar of the kind proposed by Scha, Polanyi, et al. We examine their method for re...
Claire Grover, Chris Brew, Suresh Manandhar, Marc ...
IJCAI
1993
13 years 11 months ago
A New Logical framework for Deductive Planning
objects, like elements of (abstract) data types in ordinary programming languages In the theory of abstract data types most often one only considers algebraic structures where all ...
Werner Stephan, Susanne Biundo
AAAI
1990
13 years 11 months ago
The Design of a Marker Passing Architecture for Knowledge Processing
Knowledge processing is very demanding on computer architectures. Knowledge processing generates subcomputation paths at an exponential rate. It is memory intensive and has high c...
Wing Lee, Dan I. Moldovan
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