| Paper: | SLP-L3.4 | ||
| Session: | Spoken Language Dialog | ||
| Time: | Tuesday, May 16, 17:30 - 17:50 | ||
| Presentation: | Lecture | ||
| Topic: | Speech and Spoken Language Processing: Spoken Language Dialog | ||
| Title: | Automatic Dialog Acts Recognition based on Sentence Structure | ||
| Authors: | Pavel Kral, Christophe Cerisara, LORIA UMR 7503, France; Jana Kleckova, University of West Bohemia, Czech Republic | ||
| Abstract: | 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. The main 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 %. | ||
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