A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Towards a Computationally Intelligent Lesson Adaptation for a Distance Learning Course
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Towards an adaptive natural language interface to command languages
Natural Language Engineering
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In this paper, a hybrid model for representing knowledge in a Natural Language Interface to MS-DOS for the Greek language is presented. This model employs semantic knowledge of the operating system domain to develop a hybrid architecture integrating symbolic and connectionist modules for recognizing the MS-DOS command labels of related or unrelated successive natural language user messages. This approach was deeply motivated by handling ellipsis, ambiguity and flexibility of sentence structure as better as possible. A comparative experimental evaluation of this approach to a symbolic one illustrating their pros and cons is also given. Finally, ways of extending this model are proposed with the view of making the Natural Language Interface more user friendly and functional.