BiLSTM-based Approach to the Natural Language Text Dependencies Analysis
This article discusses the idea of conducting a multistage process of building a search image of a query in natural language for use in the semantic search system. Modern methods and tools for processing natural language are widely used in the field of machine translation. Research on search engines...
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| Formáid: | Alt |
| Teanga: | Russian |
| Foilsithe / Cruthaithe: |
International Centre for Scientific and Technical Information (ICSTI)
2019-03-01
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| Sraith: | Informaciâ i Innovacii |
| Ábhair: | |
| Rochtain ar líne: | https://journal.icsti.int/jour/article/view/113 |
| _version_ | 1826547669321908224 |
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| author | A. Chernyshov |
| author_facet | A. Chernyshov |
| author_sort | A. Chernyshov |
| collection | DOAJ |
| description | This article discusses the idea of conducting a multistage process of building a search image of a query in natural language for use in the semantic search system. Modern methods and tools for processing natural language are widely used in the field of machine translation. Research on search engines and semantic search mainly focuses on data storage and further analysis. Most search engines use a huge amount of previously accumulated user queries to predict search results, without taking into account the user’s intention through quality query processing. The proposed approach is based on the selection of the maximum amount of information from the original request by means of syntactic and semantic analysis, as well as the use of synonymous extension techniques. This article describes the first step in the process of building a search query model, based on extracting syntactic dependencies from the original sentence. |
| first_indexed | 2024-03-12T04:57:49Z |
| format | Article |
| id | doaj.art-8f099e77795646bba7f91c7f268f6db8 |
| institution | Directory Open Access Journal |
| issn | 1994-2443 |
| language | Russian |
| last_indexed | 2025-03-14T05:53:19Z |
| publishDate | 2019-03-01 |
| publisher | International Centre for Scientific and Technical Information (ICSTI) |
| record_format | Article |
| series | Informaciâ i Innovacii |
| spelling | doaj.art-8f099e77795646bba7f91c7f268f6db82025-03-05T12:29:10ZrusInternational Centre for Scientific and Technical Information (ICSTI)Informaciâ i Innovacii1994-24432019-03-01141444710.31432/1994-2443-2019-14-1-44-47112BiLSTM-based Approach to the Natural Language Text Dependencies AnalysisA. Chernyshov0National research nuclear University MEPhIThis article discusses the idea of conducting a multistage process of building a search image of a query in natural language for use in the semantic search system. Modern methods and tools for processing natural language are widely used in the field of machine translation. Research on search engines and semantic search mainly focuses on data storage and further analysis. Most search engines use a huge amount of previously accumulated user queries to predict search results, without taking into account the user’s intention through quality query processing. The proposed approach is based on the selection of the maximum amount of information from the original request by means of syntactic and semantic analysis, as well as the use of synonymous extension techniques. This article describes the first step in the process of building a search query model, based on extracting syntactic dependencies from the original sentence.https://journal.icsti.int/jour/article/view/113searchquerydependenciesneural network |
| spellingShingle | A. Chernyshov BiLSTM-based Approach to the Natural Language Text Dependencies Analysis Informaciâ i Innovacii search query dependencies neural network |
| title | BiLSTM-based Approach to the Natural Language Text Dependencies Analysis |
| title_full | BiLSTM-based Approach to the Natural Language Text Dependencies Analysis |
| title_fullStr | BiLSTM-based Approach to the Natural Language Text Dependencies Analysis |
| title_full_unstemmed | BiLSTM-based Approach to the Natural Language Text Dependencies Analysis |
| title_short | BiLSTM-based Approach to the Natural Language Text Dependencies Analysis |
| title_sort | bilstm based approach to the natural language text dependencies analysis |
| topic | search query dependencies neural network |
| url | https://journal.icsti.int/jour/article/view/113 |
| work_keys_str_mv | AT achernyshov bilstmbasedapproachtothenaturallanguagetextdependenciesanalysis |