Abstract
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.
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This work partly is funded by the German Research Foundation.
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References
Boje, J., Wirén, M., Rayner, M., Lewin, I., Carter, D., and Becket, R. (1999). Language-processing strategies and mixed-initiative dialogues. In Procs. of IJCAI-99 Workshop on Knowledge and Reasoning in Practical Dialogue Systems.
Elman, J. (1990). Finding structure in time. Cognitive Science, 14:179–211.
Harbusch, K., Knapp, M., and Laumann, C. (2001). Modelling userinitiative in an automatic help desk system. In Proc. of the 6th Natural Language Processing Pacific Rim Symposium, Tokyo, Japan. in press.
Harbusch, K. and Woch, J. (2002). Integrated natural language generation with schema-tree adjoining grammars. In Procs. of the 3rd International Conferences on Intelligent Text Processing and Computational Linguistics (CICLING), Mexico, Mexico City. Springer-Verlag. forthcoming.
Joshi, A. K. and Srinivas, B. (1994). Disambiguation of super parts of speech (or supertags): Almost parsing. In Nagao, M., editor, Procs. of the 15th International Conference on Computational Linguistics (COLING), volume 2, pages 154–160, Kyoto, Japan.
Litman, D. J., Pan, S., and Kearns, M. S. (1998). Evaluating response strategies in an web-based spocken dialogue agent. In Procs. of the 36th Annual Meeting of the ACL and the 17th COLING, Montreal, Canada.
Nass, C. and Lee, K. M. (2001). Does computer generated speech manifest personality? experimental test of of recognition, similarity-attraction, and consistencyattraction. Journal of Experimental Psychology, Applied. in press.
Schabes, Y., Abeillé, A., and Joshi, A. K. (1988). Parsing strategies with ‘lexicalized’ grammars. In Hajicova, E., editor, Procs. of the 12th International Conference on Computational Linguistics (COLING), volume 1, Budapest, Hungary.
Shieber, S.M. (1993). The problem of logical-form equivalence. Computational Linguistics, 19(1):179–190.
Srinivas, B. (1997). Performance evaluation of supertagging for partial parsing. In Procs. of the 5th International Workshop on Parsing Technologies (IWPT), Boston/USA.
Wermter, S. (1995). Hybrid connectionist natural language processing. Chapman and Hall, International Thomson Computer Press, London, UK.
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Knapp, M., Woch, J. (2002). Towards a Natural Language Driven Automated Help Desk. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_8
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DOI: https://doi.org/10.1007/3-540-45715-1_8
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