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ITHEA® International Journal

"Information Theories and Applications"

2021, Volune 28, Nimber 3

 

Development of Natural Language Dialogue Software Systems

Anna Litvin, Vitalii Velychko, Vladislav Kaverinsky

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Anna Litvin, Vitalii Velychko, Vladislav Kaverinsky, "Development of Natural Language Dialogue Software Systems" IJ ITA, Vol. 28, Issue 3, pp. 233-270. (2021)
DOI: https://doi.org/10.54521/ijita28-03-p03

 

Abstract:

This paper discusses problems of natural language dialogue systems development. Here are considered different types of such program systems and their peculiarities based on our development experience. The systems discussed here are aimed at using graph ontological databases. Five basic types of natural language systems are highlighted: reference system, reference system with clarifying and technical questions, questionnaire system, active initiative system, control system. The first four of them are considered in detail. The reference system type, which is the basic type, is shown and discussed. Problems considered here are: natural language phrase to a formal query transformation, semantic analysis and answer formation. The ways are shown for these processes program implementation. For all the types the problem of the current dialogue subject keeping is considered, especially for an active initiative system where it is the most crucial. The different approaches are shown and compared for the principles of graph database (ontology) construction, which could be used in the dialogue systems.

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