Text-Mining Research Group

Automatic dialogue act recognition with syntactic features

This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel is drawn with the related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further proposed and successfully used in a Czech dialogue act recognition system based on conditional random fields. We finally discuss the possible reasons why so few works have exploited this type of information before and propose future research directions to further progress in this area.
The available full text is a preprint of the article.

Keywords: Dialogue act; Language model; Sentence structure; Speech act; Speech recognition; Syntax

Year: 2014

Download:  Full text [229 kB]

Pavel Král

Phone: +420 377 632 454
E-mail: pkral@kiv,zcu.cz
WWW: http://home.zcu.cz/~pkral/

Pavel is a lecturer/researcher at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen (Czech Republic). His research is focused on automatic speech processing, dialog act recognition, syntactic parsing, punctuation annotation and document classification.

Christophe Cerisara