An evaluation of recent neural sequence tagging models in Turkish named entity recognition

作者：

Highlights：

• Performances of LSTM and transformer-based networks are studied for Turkish NER.

• A new transformer-based network with a CRF layer on top is introduced.

• The state-of-the-art Turkish NER results are obtained with the proposed network

摘要

•Performances of LSTM and transformer-based networks are studied for Turkish NER.•A new transformer-based network with a CRF layer on top is introduced.•The state-of-the-art Turkish NER results are obtained with the proposed network

论文关键词：Named entity recognition,Turkish,Transfer learning,CRF,Digital media industry

论文评审过程：Received 7 May 2020, Revised 2 April 2021, Accepted 14 April 2021, Available online 3 May 2021, Version of Record 29 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115049