Twenty - Fifth International Conference on Machine Learning
نویسندگان
چکیده
Modeling language at the syntactic or semantic level is a key problem in natural languageprocessing, and involves a challenging set of structured prediction problems. In this talkI’ll describe work on machine learning approaches for syntax and semantics, with a particu-lar focus on lexicalized grammar formalisms such as dependency grammars, tree adjoininggrammars, and categorial grammars. I’ll address key issues in the following areas: 1) the de-sign of learning algorithms for structured linguistic data; 2) the design of representations thatare used within these learning algorithms; 3) the design of efficient approximate inferencealgorithms for lexicalized grammars, in cases where exact inference can be very expensive.In addition, I’ll describe applications to machine translation, and natural language interfaces.
منابع مشابه
The Fifth International Conference on Machine Learning
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