Japanese dialogue corpus of multi-level annotation

Authors:
Shu Nakazato
Affiliations:
-
Venue:
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Year:
2000

Citing 1
Cited 3

Attention, intentions, and the structure of discourse

Computational Linguistics

Example-based speech intention understanding and its application to in-car spoken dialogue system

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Development of a machine learnable discourse tagging tool

SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Constructing a spoken dialogue corpus for studying paralinguistic information in expressive conversation and analyzing its statistical/acoustic characteristics

Speech Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a Japanese dialogue corpus annotated with multi-level information built by the Japanese Discourse Research Initiative, Japanese Society for Artificial Intelligence. The annotation information consists of speech, transcription delimited by slash units, prosodic, part of speech, dialogue acts and dialogue segmentation. In the project, we used the corpus for obtaining new findings by examining the relationship between linguistic information and dialogue acts, that between prosodic information and dialogue segment, and the characteristics of agreement/disagreement expressions and non-sentence elements.