'How may I help you'-spoken queries for technical assistance

Authors:
Dale-Marie Wilson;Aqueasha M. Martin;Juan E. Gilbert
Affiliations:
University of North Carolina, Charlotte NC;Clemson University, Clemson, SC;Clemson University, Clemson, SC
Venue:
Proceedings of the 48th Annual Southeast Regional Conference
Year:
2010

Citing 8
Cited 1

The changing face of technical communication: new directions for the field in a new millennium

SIGDOC '01 Proceedings of the 19th annual international conference on Computer documentation
Mining the web for answers to natural language questions

Proceedings of the tenth international conference on Information and knowledge management
Learning the vi Editor

Learning the vi Editor
Modern Information Retrieval

Modern Information Retrieval
Multimodal interfaces

The human-computer interaction handbook
Probabilistic question answering on the Web: Research Articles

Journal of the American Society for Information Science and Technology
Itech: an interactive technical assistant

Itech: an interactive technical assistant
Designing the user interface for multimodal speech and pen-based gesture applications: state-of-the-art systems and future research directions

Human-Computer Interaction

Voice interfaced vehicle user help

Proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Spoken dialog systems, including interactive assistants, have emerged as a viable option for presenting technical communication. Thus has contributed to interests in improving the effectiveness and design of such systems through natural language. Traditional methods of natural language processing include parts-of-speech tagging, syntactic parsing, and statistical models. This paper introduces a new conversational question answering methodology, Answer First (A1) that bypasses traditional methods and removes the need for preprocessing of queries.