{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/tuning-multilingual-transformers-for-named","title":"Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages","arxiv_id":null,"date":"2019-01-30","proceeding":"Conference: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing 2019 1","authors":["Mikhail Arkhipov","Maria Trofimova","Yuri Kuratov","Alexey Sorokin"],"abstract":"Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish. We solve this task using the BERT model. We use a hundred languages multilingual model as base for transfer to the mentioned Slavic languages. Unsupervised pre-training of the BERT model on these 4 languages allows to significantly outperform baseline neural approaches and multilingual BERT. Additional improvement is achieved by extending BERT with a word-level CRF layer. Our system was submitted to BSNLP 2019 Shared Task on Multilingual Named Entity Recognition and took the 1st place in 3 competition metrics out of 4 we participated in. We open-sourced NER models and BERT model pre-trained on the four Slavic languages.","url_abs":"https://www.semanticscholar.org/paper/Tuning-Multilingual-Transformers-for-Named-Entity-Arkhipov-Trofimova/701b49596ab9471fa2be9c58ea625dd7b7471b15","url_pdf":"https://www.aclweb.org/anthology/W19-3712.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"tuning-multilingual-transformers-for-named","repo_url":"https://github.com/deepmipt/Slavic-BERT-NER","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"multilingual-named-entity-recognition","task_name":"Multilingual Named Entity Recognition"},{"task_slug":"cg","task_name":"NER"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"unsupervised-pre-training","task_name":"Unsupervised Pre-training"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}