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COLING
2002

A Novel Disambiguation Method for Unification-Based Grammars Using Probabilistic Context-Free Approximations

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A Novel Disambiguation Method for Unification-Based Grammars Using Probabilistic Context-Free Approximations
We present a novel disambiguation method for unification-based grammars (UBGs). In contrast to other methods, our approach obviates the need for probability models on the UBG side in that it shifts the responsibility to simpler context-free models, indirectly obtained from the UBG. Our approach has three advantages: (i) training can be effectively done in practice, (ii) parsing and disambiguation of context-free readings requires only cubic time, and (iii) involved probability distributions are mathematically clean. In an experiment for a mid-size UBG, we show that our novel approach is feasible. Using unsupervised training, we achieve 88% accuracy on an exact-match task.
Bernd Kiefer, Hans-Ulrich Krieger, Detlef Prescher
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2002
Where COLING
Authors Bernd Kiefer, Hans-Ulrich Krieger, Detlef Prescher
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