PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Robust dependency parsing for Spoken Language Understanding of spontaneous speech
Frederic Bechet and Alexis Nasr
In: Interspeech 2009, 6 sept - 10 sept 2009, Brighton, United Kingdom.

Abstract

We describe in this paper a syntactic parser for spontaneous speech geared towards the identification of verbal subcategorization frames. The parser proceeds in two stages. The first stage is based on generic syntactic resources for French. The second stage is a reranker which is specially trained for a given application. The parser is evaluated on the \media\ corpus.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Speech
ID Code:6705
Deposited By:Alexis Nasr
Deposited On:08 March 2010