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Stochastically-Based Semantic Analysis for ARISE - Automatic Railway Information Systems for Europe

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Grammars

Abstract

We describe a stochastic component for automatic spoken natural language understanding in an application for train travel information retrieval, the French ARISE (Automatic Railway Information Systems for Europe) task. The focus is on the design and the elaboration of processing strategies that are optimally adapted to the task model, the semantic representation and the available training data. A semi-automatic iterative approach allows to produce a corpus of semantic labels that are used for component training.

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Authors and Affiliations

  1. Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403, Orsay cedex, France. E-mail

    Wolfgang Minker

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  1. Wolfgang Minker
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Minker, W. Stochastically-Based Semantic Analysis for ARISE - Automatic Railway Information Systems for Europe. Grammars 2, 127–147 (1999). https://doi.org/10.1023/A:1009943728288

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