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Titlebook: Data Analytics and Management in Data Intensive Domains; 23rd International C Alexei Pozanenko,Sergey Stupnikov,Nadezhda Kiselyo Conference

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Adebayo Fayoyin,Emmanuel K. Ngwainmbies not require a large amount of labeled data, which saves time and effort for data labeling and therefore can be applied in low- and mid-resource settings. The source code is publicly available and can be used for different research purposes.
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A System for Information Extraction from Scientific Texts in Russianes not require a large amount of labeled data, which saves time and effort for data labeling and therefore can be applied in low- and mid-resource settings. The source code is publicly available and can be used for different research purposes.
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Conference proceedings 2022 DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*..The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experiment organization, and machine learning applications; d
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https://doi.org/10.1007/978-3-642-34568-5gration of different open source tools for running research experiments. We implement our approach in a prototype open source MLDev software package and evaluate it in a series of experiments yielding promising results. Comparison with other state-of-the-art tools signifies novelty of our approach.
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