CLARITY: Inferring Discourse Structure from Speech - Robotics Institute Carnegie Mellon University

CLARITY: Inferring Discourse Structure from Speech

Maria Lapara, Alon Lavie, Lori Levin, Laura Mayfield Tomokiyo, Thomas Polzin, Klaus Ries, Alex Waibel, and Klaus Zechner
Conference Paper, Proceedings of AAAI '98 Spring Symposium on Applying Machine Learning to Discourse Processing, pp. 25 - 32, March, 1998

Abstract

The goal of the CLARITY project is to explore the use of discourse structure in the understanding of conversational speech. Within project CLARITY we aim to develop automatic classifiers for three levels of discourse structure in Spanish telephone conversations: speech acts, dialogue games, and discourse segments. This paper presents our first results and research plans in three areas: definition of discourse structure units and manual annotation of CALLHOME SPANISH, speech recognition, and automated segmentation and labeling of speech acts.

BibTeX

@conference{-1998-16556,
author = {and Maria Lapara and Alon Lavie and Lori Levin and Laura Mayfield Tomokiyo and Thomas Polzin and Klaus Ries and Alex Waibel and Klaus Zechner},
title = {CLARITY: Inferring Discourse Structure from Speech},
booktitle = {Proceedings of AAAI '98 Spring Symposium on Applying Machine Learning to Discourse Processing},
year = {1998},
month = {March},
pages = {25 - 32},
}