Dialogue Act Recognition Approaches


  • Pavel Král
  • Christophe Cerisara


Bayesian approaches, dialogue act, lexical information, prosody, syntactic information


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, speech recognition, automatic machine translation, etc. The main goal of this paper is to study the existing works about DA recognition and to discuss their respective advantages and drawbacks. A major concern in the DA recognition domain is that, although a few DA annotation schemes seem now to emerge as standards, most of the time, these DA tag-sets have to be adapted to the specificities of a given application, which prevents the deployment of standardized DA databases and evaluation procedures. The focus of this review is put on the various kinds of information that can be used to recognize DAs, such as prosody, lexical, etc., and on the types of models proposed so far to capture this information. Combining these information sources tends to appear nowadays as a prerequisite to recognize DAs.


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Author Biographies

Pavel Král

Department of Computer Science and Engineering
University of West Bohemia, Plzeň, Czech Republic

Christophe Cerisara

BP 239 -- 54506 Vandoeuvre, France




How to Cite

Král, P., & Cerisara, C. (2012). Dialogue Act Recognition Approaches. COMPUTING AND INFORMATICS, 29(2), 227–250. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/82