Publication: Intelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting
Дата
2019
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© 2019, Springer Nature Switzerland AG. Nowadays the leading world scientists and engineers center their attention to data mining and machine learning algorithms optimization and acceleration rather than inventing new ones. The natural language processing methods and tools are widely in use in production in the area of machine translation. The researches in the area of search engines and semantic search are mostly concentrated on data storage and further analysis. The majority of search engines use the huge amounts of previously accumulated user requests for predicting the search output without taking in attention this user intention by qualitative processing the request. In this paper we explore the idea of usage the semantic cognitive spaces for extracting the exact user intentions by analysis the natural language input requests. The final goal of our research is to develop a valid search query model for further usage in semantic search engines.
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Chernyshov, A. Intelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting / Chernyshov,A., Balandina,A., Klimov,V. // Advances in Intelligent Systems and Computing. - 2019. - 848. - P. 56-61. - 10.1007/978-3-319-99316-4_8
URI
https://www.doi.org/10.1007/978-3-319-99316-4_8
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https://openrepository.mephi.ru/handle/123456789/16274
https://www.scopus.com/record/display.uri?eid=2-s2.0-85053224109&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000644414500008
https://openrepository.mephi.ru/handle/123456789/16274