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cs.CL2000
Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution
Detlef Prescher, Stefan Riezler, Mats Rooth
This paper presents the use of probabilistic class-based lexica for disambiguation in target-word selection. Our method employs minimal but precise contextual information for disam…
cs.CL2000
Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
Stefan Riezler, Detlef Prescher, Jonas Kuhn +1
We present a new approach to stochastic modeling of constraint-based grammars that is based on log-linear models and uses EM for estimation from unannotated data. The techniques ar…
cs.CL2000
Estimators for Stochastic ``Unification-Based'' Grammars
Mark Johnson, Stuart Geman, Stephen Canon +2
Log-linear models provide a statistically sound framework for Stochastic ``Unification-Based'' Grammars (SUBGs) and stochastic versions of other kinds of grammars. We describe two…