|
Title:
|
INTELLIGENT ASSISTING CONVERSATIONAL AGENTS VIEWED THROUGH NOVICE USERS REQUESTS |
|
Author(s):
|
Mao Xuetao , Jean-paul Sansonnet , François Bouchet |
|
ISBN:
|
978-972-8924-85-0 |
|
Editors:
|
Katherine Blashki |
|
Year:
|
2009 |
|
Edition:
|
Single |
|
Keywords:
|
Assisting Conversational Agents, Eliciting User Requirements, Natural Language Processing. |
|
Type:
|
Full Paper |
|
First Page:
|
37 |
|
Last Page:
|
44 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Assisting Conversational Agents are Embodied Conversational Agents dedicated to the Function of Assistance for
applications and services to the general public, especially on the Internet. We have developed a web-based framework to
experiment with assisting agents regarding the key issue of believability, and where good Natural Language
Understanding is a primary concern. Now, we are confronted with the difficult issue of the cost of developing and
customizing Natural Language Processing tools (NLP-tools) for each new assisted application. In this paper, we propose
an approach which is a tradeoff between complex dialogue systems and naive chatbot systems. We think that our
approach is worth considering because it focuses on a concise and well circumscribed linguistic domain: the domain of
Assistance Requests, that we captured by registering a corpus, in various contexts with ordinary people placed in front of
Assisting Conversational Agents. |
|
|
|
|
|
|
