Publications

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Semantic hierarchies in dialogue systems

MOUČEK, R. Semantic hierarchies in dialogue systems. In WSEAS transactions on electronics, Vol. 1, issue 3 (2004). Izmir: WSEAS, 2004. s. 516-519.
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Paper deals with semantic representation of user utterances within development of computerized dialogue system for city information center. Formalism for description of natural language are verified on user utterances. Problem of building semantic hierarchies is discussed.

Response generation from conceptual representation

TAUŠER, K., MOUČEK, R. Response generation from conceptual representation . In Proceedings of the 5th international PhD workshop on systems and control a young generation viewpoint. Balatonfüred: HAS, 2004. s. 146-151. ISBN: 963-311-359-8
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This paper deals with the response generation within development of computerized dialogue system, which is based on transformation of conceptual representation of response into a final output string presented in an orthographical form.

Theory of microsituations in spoken language

MOUČEK, R., ANDRŠ, D. Theory of microsituations in spoken language . In Proceedings of the 5th international PhD workshop on systems and control a young generation viewpoint. Balatonfüred: HAS, 2004. s. 83-86. ISBN: 963-311-359-8
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This paper deals with the program tool built for classification of sentence into classes of microsituations and predicators within development of computerized dialogue system. Concept of situation, domain and task concepts are mentioned.

Word extraction based on subword models

ANDRŠ, D., MOUČEK, R. Word extraction based on subword models. In Proceedings of the 5th international PhD workshop on systems and control a young generation viewpoint. Balatonfüred: HAS, 2004. s. 1-4. ISBN: 963-311-359-8
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The description of a method of word extraction which was developed for such lexicon-based recognizers.

Using self-organizing feature map for signature verification

MAUTNER, P., MATOUŠEK, V., MARŠÁLEK, T., ŠOULE, M. Using self-organizing feature map for signature verification. In Artificial intelligence and soft computing. Anaheim: ACTA Press, 2004. s. 272-275. ISBN: 0-88986-458-6
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In this paper we describe the usef of the SOFM neural network model for signature verification. The biometric data were acquired by a special digital data acquisition pen. The architecture of the verifer and achieved results are discussed here and ideas for future research are also suggested.

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