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CORR
2010
Springer
67views Education» more  CORR 2010»
14 years 12 months ago
From Frequency to Meaning: Vector Space Models of Semantics
Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their ...
Peter D. Turney, Patrick Pantel
ACL
1994
15 years 1 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
UAI
1998
15 years 1 months ago
Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
People using consumer software applications typically do not use technical jargon when querying an online database of help topics. Rather, they attempt to communicate their goals ...
David Heckerman, Eric Horvitz
SPIRE
1998
Springer
15 years 4 months ago
Direct Pattern Matching on Compressed Text
We present a fast compression and decompression technique for natural language texts. The novelty is that the exact search can be done on the compressed text directly, using any k...
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
ICASSP
2009
IEEE
14 years 9 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori