Automatic Dialog Acts Recognition based on Sentence Structure

Automatic Dialog Acts Recognition based on Sentence Structure

This paper deals with automatic dialog acts (DAs) recognition in Czech. Our work focuses on two applications: a multimodal reservation system and an animated talking head for hearing-impaired people. In that context, we consider the following DAs: statements, orders, investigation questions and other questions. Themain goal of this paper is to propose, implement and evaluate new approaches to automatic DAs recognition based on sentence structure and prosody. Our system is tested on a Czech corpus that simulates a task of train tickets reservation. With lexical-only information, the classification accuracy is 91%. We proposed two methods to include sentence structure information, which respectively give 94% and 95%. When prosodic information is further considered, the recognition accuracy reaches 96%.

Keywords: bayesian network, dialog, dialog act, language model, lexical information, prosody, sentence structure

Year: 2006

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Authors of this publication:

Pavel Kr├íl

Phone: +420 377 632 454
E-mail: pkral@kiv,

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.