Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Olesia V. Makhnytkina"'
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 2, Pp 214-221 (2024)
Personalization is one of the keyways to improve the performance of conversational agents. It improves the quality of user interaction with a conversational agent and increases user satisfaction by increasing the consistency and specificity of resp
Externí odkaz:
https://doaj.org/article/35a13887f6ea429b9c4632ef66c03d04
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 4, Pp 743-749 (2023)
Currently, various natural language processing tasks often require large data sets. However, for many tasks, collecting large datasets is quite tedious and expensive, and requires the involvement of experts. An increase in the amount of data can be a
Externí odkaz:
https://doaj.org/article/7844339aa4124732be8531593c61b10d
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 21, Iss 5, Pp 709-719 (2021)
In this paper, we propose a method for automatically determining the structure of the tree and the key topics of nodes in the process of building a dialog tree based on unmarked text corpora. Building a dialog tree is one of the time-consuming tasks
Externí odkaz:
https://doaj.org/article/3743ee590cc647f4b766be33c46bbb5d
This book constitutes the refereed proceedings of the 6th Conference on Electronic Governance and Open Society: Challenges in Eurasia, EGOSE 2019, held in St. Petersburg, Russia, in November 2019.The 32 revised full papers were carefully reviewed an
