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IJCAI
2001
15 years 8 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
NIPS
2003
15 years 8 months ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
ACL
1998
15 years 7 months ago
Combining Stochastic and Rule-Based Methods for Disambiguation in Agglutinative Languages
In this paper we present the results of the combination of stochastic and rule-based disambiguation methods applied to Basque languagel. The methods we have used in disambiguation...
Nerea Ezeiza, Iñaki Alegria, Jose Maria Arr...
CORR
2008
Springer
144views Education» more  CORR 2008»
15 years 6 months ago
Modular Compilation of a Synchronous Language
Synchronous languages rely on formal methods to ease the development of applications in an efficient and reusable way. Formal methods have been advocated as a means of increasing t...
Annie Ressouche, Daniel Gaffé, Valér...
AI
2008
Springer
15 years 5 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey