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Conference material: "Scientific service & Internet: proceedings of the 22nd All-Russian Scientific Conference (September 21-25, 2020, online)"
Authors: Gusenkov A.M., Sittikova A.R.
Generation of search queries with neural networks
In this paper we research two modifications of recurrent neural networks – Long Short-Term Memory networks and networks with Gated Recurrent Unit with the addition of an attention mechanism to both networks, as well as the Transformer model in the task of generating queries to search engines. Latent-semantic analysis was carried out to identify semantic similarities between the corpus of user queries and queries generated by neural networks. Also, an expert analysis was carried out to assess the coherence of words in artificially created queries.
natural language processing, natural language generation, machine learning, neural networks
Publication language: russian,  pages: 19 (p. 210-228)
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About authors:
  • Gusenkov Alexander Mihajlovich,,  Kazan Federal University
  • Sittikova Alina Rafisovna,,  Kazan Federal University