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We propose a module that performs automatic analysis of user input in spoken dialogue systems using machine learning algorithms. The input to the module is material received from the speech recogniser and the dialogue manager of the spoken dialogue system, the output is a four-level pragmatic-semant
This thesis is about automatically finding grammatical relations (GR), such as subject, direct object, temporal or locative adjunct in English sentences. The grammatical relations to be found are based on the annotations in the Wall Street Journal Corpus of the Penn Treebank II and are restricted to
Omhoog
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