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Automatic Recognition of Dialogue Acts

Pavel Kral 1, 2
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This thesis deals with automatic Dialogue Act (DA) recognition in Czech and in French. Dialogue acts are sentence-level labels that represent different states of a dialogue, such as questions, statements, hesitations, etc.
The first main contribution of this work is to propose and compare several approaches that recognize dialogue acts based on three types of information: lexical, prosodic and word positions. These approaches are tested on the Czech Railways corpus that contains human-human dialogues, which are transcribed both manually and with an automatic speech recognizer for comparison. The experimental results confirmed that every type of feature (lexical, prosodic and word positions) bring relevant and somewhat complementary information. The proposed methods that take into account word positions are especially interesting, as they bring global information about the structure of a sentence, at the opposite of traditional n-gram models that only capture local cues.
One of the main issue in the domain of automatic dialogue act recognition concerns the design of a fast and cheap method to label new corpora. The next main contribution is to apply the general semi-supervised training approach based on the Expectation Maximization algorithm to the task of labeling a new corpus with the pre-defined DAs. We further proposed to filter out the examples that might be incorrect by two confidence measures, namely the maximum a posteriori probability and the a posteriori probability difference methods. Experimental results showed that the proposed method is an efficient approach to create new dialogue act corpora at low costs.
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Contributor : Pavel Kral <>
Submitted on : Thursday, November 15, 2007 - 8:07:22 PM
Last modification on : Wednesday, May 23, 2018 - 1:29:22 AM
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  • HAL Id : tel-01748248, version 2


Pavel Kral. Automatic Recognition of Dialogue Acts. Modeling and Simulation. Université Henri Poincaré - Nancy 1, 2007. English. ⟨NNT : 2007NAN10114⟩. ⟨tel-01748248v2⟩



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