Application of machine learning methods for filling and updating nuclear knowledge bases
The paper deals with issues of designing and creating knowledge bases in the field of nuclear science and technology. The authors present the results of searching for and testing optimal classification and semantic annotation algorithms applied to the textual network content for the convenience of c...
Main Authors: | Victor P. Telnov, Yury A. Korovin |
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Format: | Article |
Language: | English |
Published: |
National Research Nuclear University (MEPhI)
2023-06-01
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Series: | Nuclear Energy and Technology |
Subjects: | |
Online Access: | https://nucet.pensoft.net/article/106759/download/pdf/ |
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