Learning face marks for natural language dialogue systems

2004 ◽  
Author(s):  
J. Nakamura ◽  
T. Ikeda ◽  
N. Inui ◽  
Y. Kotani
Keyword(s):  
Natural Language ◽  
Dialogue Systems ◽  
Natural Language Dialogue

scholarly journals Use Learnable Knowledge Graph in Dialogue System for Visually Impaired Macro Navigation

2021 ◽  
Vol 11 (13) ◽  
pp. 6057
Author(s):  
Ching-Han Chen ◽  
Ming-Fang Shiu ◽  
Shu-Hui Chen
Keyword(s):  
Natural Language ◽  
Human Computer Interaction ◽  
Navigation System ◽  
Visually Impaired ◽  
Knowledge Graph ◽  
Dialogue System ◽  
Natural Language Dialogue ◽  
Communication Method ◽  
Main Subsystem ◽  
Computer Interaction

Dialogue in natural language is the most important communication method for the visually impaired. Therefore, the dialogue system is the main subsystem in the visually impaired navigation system. The purpose of the dialogue system is to understand the user’s intention, gradually establish context through multiple conversations, and finally provide an accurate destination for the navigation system. We use the knowledge graph as the basis of reasoning in the dialogue system, and then update the knowledge graph so that the system gradually conforms to the user’s background. Based on the experience of using the knowledge graph in the navigation system of the visually impaired, we expect that the same framework can be applied to more fields in order to improve the practicality of natural language dialogue in human–computer interaction.

Editorial Intelligent Help Systems for UNIX: Natural Language Dialogue

2000 ◽  
pp. 277-281
Author(s):  
Stephen J. Hegner ◽  
Paul Mc Kevitt ◽  
Peter Norvig ◽  
Robert Wilensky
Keyword(s):  
Natural Language ◽  
Natural Language Dialogue ◽  
Help Systems ◽  
Intelligent Help Systems

Natural Language Dialogue

2014 ◽  
pp. 515-525
Author(s):  
Ben Goertzel ◽  
Cassio Pennachin ◽  
Nil Geisweiller
Keyword(s):  
Natural Language ◽  
Natural Language Dialogue
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