Named Entity Recognition for Russian Judicial Rulings Text
| Autor: | Maria Averina, Olga Levanova, Natalia Kasatkina |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 1, Pp 49-55 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 |
| DOI: | 10.23919/FRUCT56874.2022.9953892 |
| Popis: | The article presents the solution of named entity recognition problem for legal Russian-language texts. We studied CRF, LSTM, BERT and BiLSTM and their combinations. The models were tested with various parameters of text preprocessing and words vector representations. The best result was shown by fastext vectorization with BiLSTM and CRF model, the value F-measure is 0.86. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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