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ACL
2004
15 years 1 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
JOLLI
2006
101views more  JOLLI 2006»
15 years 8 days ago
A Note on the Expressive Power of Probabilistic Context Free Grammars
We examine the expressive power of probabilistic context free grammars (PCFGs), with a special focus on the use of probabilities as a mechanism for reducing ambiguity by filtering ...
Gabriel G. Infante López, Maarten de Rijke
JAIR
2010
131views more  JAIR 2010»
14 years 10 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
ML
2008
ACM
100views Machine Learning» more  ML 2008»
15 years 8 days ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
NLPRS
2001
Springer
15 years 4 months ago
A Probabilistic Model for Japanese Zero Pronoun Resolution Integrating Syntactic and Semantic Features
This paper proposes a method to resolve Japanese zero pronouns by identifying their antecedents. Our method uses a probabilistic model, which is decomposed into syntactic and sema...
Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa