Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages

Conference: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing 2019 Mikhail ArkhipovMaria TrofimovaYuri KuratovAlexey Sorokin

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... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet