Work

Simultaneous dialogue act segmentation and labelling using lexical and syntactic features

Year: 2009

Type: conference-paper

Abstract: Segmentation of utterances and annotation as dialogue acts can be helpful for several modules of dialogue systems. In this work, we study a statistical machine learning model to perform these tasks simultaneously using lexical features and incorporating deterministic syntactic restrictions. There is a slight improvement in both segmentation and labelling due to these restrictions.

Source: Annual Meeting of the Special Interest Group on Discourse and Dialogue

DOI: 10.3115/1708376.1708425

Authors: Ramon Granell, Stephen Pulman, Carlos-D. Martínez-Hinarejos

Institutions: University of Oxford, Universitat Politècnica de València

Language: English

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: European Commission

OpenAlex ID: W2102455835

FWCI:

Cites: 8

Cited by: 3

Related to: 10