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Crosslingual Information Extraction

Student: Dolzhenko Nikolay

Supervisor: Evgeny Sokolov

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2020

The task of named entity recognition often occurs in different fields related to natural language. This work examines the problem training a model for tagging named entities in documents written in different languages. It also suggests an approach for pretraining models for character embeddings for multilingual word tagging problems

Full text (added May 20, 2020)

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