Does computer-generated speech manifest personality? an experimental test of similarity-attraction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Integrated Natural Language Generation with Schema-Tree Adjoining Grammars
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
The problem of logical-form equivalence
Computational Linguistics - Special issue on using large corpora: I
Evaluating response strategies in a Web-based spoken dialogue agent
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Parsing strategies with 'lexicalized' grammars: application to tree adjoining grammars
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Disambiguation of super parts of speech (or supertags): almost parsing
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
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In this paper, we present the linguistic components required for a natural language driven automated help desk. This work is significant for two reasons: First, the combination of neural networks and supertagging represents a novel and very robust way to classify non-trivial user utterances. Second, we show a novel way of integrating known linguistic techniques for the analysis of user input, knowledge processing, and generation of system responses, resulting in a natural language interface both for input and output. Our approach separates domain specific, language specific and discourse specific knowledge.