Machine learning techniques in dialogue act recognition
نویسندگان
چکیده
منابع مشابه
Dialogue Act Recognition Techniques
This report addresses dialogue acts (DAs), their existing applications and techniques of automatically recognizing them. Three main applications are described: in dialogue systems to determine the intention of the speaker, in dialogue systems with machine translation to resolve ambiguities in the possible translation variants and in speech recognition to reduce word recognition error rate. Seve...
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This paper deals with automatic dialogue act (DA) recognition. Dialogue acts are sentence-level units that represent states of a dialogue, such as questions, statements, hesitations, etc. The knowledge of dialogue act realizations in a discourse or dialogue is part of the speech understanding and dialogue analysis process. It is of great importance for many applications: dialogue systems, speec...
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Dialogue acts play an important role in modelling discourse phenomena in several components of modern dialogue systems. Many different features have been so far proposed for dialogue act recognition. In this report, we take a cue-based model approach, and use N grams in utterances in dialogue as cue phrases. In our experiment with the switchboard corpus, we obtained 57.1% classification accurac...
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In this work we study the effectiveness of speaker adaptation for dialogue act recognition in multiparty meetings. First, we analyze idiosyncracy in dialogue verbal acts by qualitatively studying the differences and conflicts among speakers and by quantitively comparing speaker-specific models. Based on these observations, we propose a new approach for dialogue act recognition based on reweight...
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ژورنال
عنوان ژورنال: Eesti Rakenduslingvistika Ühingu aastaraamat Estonian Papers in Applied Linguistics
سال: 2007
ISSN: 1736-2563
DOI: 10.5128/erya3.08