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Titlebook: Artificial Intelligence; 17th Russian Confere Sergei O. Kuznetsov,Aleksandr I. Panov Conference proceedings 2019 Springer Nature Switzerlan

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11#
發(fā)表于 2025-3-23 13:26:34 | 只看該作者
12#
發(fā)表于 2025-3-23 16:25:19 | 只看該作者
Development of the Lexicon of Argumentation Indicatorsain pragmatic aspects of the argumentation signaled by discursive indicators are outlined. The classification of indicators takes into account pragmatic meaning and the type of language means used. Special attention is paid to insufficiently studied indicator constructions and classes of their core
13#
發(fā)表于 2025-3-23 21:00:39 | 只看該作者
A Technique to Pre-trained Neural Network Language Model Customization to Software Development Domai (Software Intensive Systems, SIS) has changed insignificantly, remaining at the level of 50% inconsistency with the initial requirements (finance, time and functionality) for medium-sized projects. The annual financial losses in the world due to the total failures are of the order of hundreds of bi
14#
發(fā)表于 2025-3-23 23:10:39 | 只看該作者
Predicting Personality Traits from Social Network Profilesaits model (Big Five) can predict mental disorders. In this paper, we consider the problem of automatic detection of personality traits from user profiles of Russian social network VKontakte. We describe the preparation of user profiles dataset, propose several features sets and evaluate machine lea
15#
發(fā)表于 2025-3-24 03:34:38 | 只看該作者
16#
發(fā)表于 2025-3-24 07:36:34 | 只看該作者
17#
發(fā)表于 2025-3-24 11:10:01 | 只看該作者
18#
發(fā)表于 2025-3-24 18:06:55 | 只看該作者
Fracture-Dislocations of the Wristiles of Russian social network VKontakte. We describe the preparation of user profiles dataset, propose several features sets and evaluate machine learning methods for predicting personality traits. The results of experiments show that different features set demonstrate promising results on the task of a personality prediction.
19#
發(fā)表于 2025-3-24 21:37:26 | 只看該作者
20#
發(fā)表于 2025-3-25 00:24:43 | 只看該作者
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