Work

Dialogue Act Modeling for Non-Visual Web Access

Year: 2014

Type: conference-paper

Abstract: Speech-enabled dialogue systems have the potential to enhance the ease with which blind individuals can interact with the Web beyond what is possible with screen readers -the currently available assistive technology which narrates the textual content on the screen and provides shortcuts to navigate the content.In this paper, we present a dialogue act model towards developing a speech enabled browsing system.The model is based on the corpus data that was collected in a wizard-of-oz study with 24 blind individuals who were assigned a gamut of browsing tasks.The development of the model included extensive experiments with assorted feature sets and classifiers; the outcomes of the experiments and the analysis of the results are presented.

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

DOI: 10.18653/v1/w14-4317

Authors: Vikas Ashok, Yevgen Borodin, Svetlana Stoyanchev, IV Ramakrishnan

Institutions: Stony Brook University, Charmtech Labs (United States), AT&T (United States), Columbia University

Language: English

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: hybrid

Funder: National Institutes of Health