Authors:
Michael Zock
;
Paul Sabatier
and
Line Jakubiec-Jamet
Affiliation:
(L.I.F - CNRS - UMR 6166) Laboratoire d’Informatique Fondamentale de Marseille, Université de la Méditerranée Faculté des Sciences de Luminy, France
Related
Ontology
Subjects/Areas/Topics:
Accessibility to Disabled Users
;
Applications
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Data Engineering
;
e-Business
;
Education/Learning
;
e-Learning
;
e-Learning and e-Teaching
;
Enterprise Information Systems
;
Human Factors
;
Human-Computer Interaction
;
Information Systems Analysis and Specification
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Intelligent User Interfaces
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Natural Language Interfaces to Intelligent Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Physiological Computing Systems
;
Software Agents and Internet Computing
;
Symbolic Systems
;
Ubiquitous Learning
Abstract:
Natural language generation is typically based on messages and goals. We present here our views on how to help people to provide this kind of input, i.e. how to communicate thoughts to the computer, so that it could produce the corresponding surface-forms (sentences). The resource we are building is composed of a linguistically motivated ontology, a dictionary and a graph generator, whose respective functions are (a) guiding the user to make his choices concerning the concepts/words to build the message from, (b) to provide knowledge of how to link the chosen elements to yield a message (compositional rules), and (c) the visual display of the output, i.e. message graph representing the user’s input. Our starting point is Illico, a system developed for French. Yet, being designed for sentence completion rather than message construction, it tends to drown the user by providing too many options, a shortcoming that we try to overcome via the mentioned ontology combined with a tool checki
ng conceptual well formedness. In order to make our goal feasable (allow users to express freely ideas of any sort), we will start by limiting ourselves to two small domains: soccer and textbooks designed for learning French.
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