LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems

作者：

Highlights：

• Most of existing Named Entity Recognition systems make use of generic ontologies.

• The proposed model exploits Word Embeddings for improving the semantical meaning.

• The proposed model strongly improved the adaptation performance.

摘要

•Most of existing Named Entity Recognition systems make use of generic ontologies.•The proposed model exploits Word Embeddings for improving the semantical meaning.•The proposed model strongly improved the adaptation performance.

论文关键词：68T50,Named Entity Recognition,Domain adaptation,Word embeddings

论文评审过程：Received 13 December 2019, Revised 7 December 2020, Accepted 24 January 2021, Available online 19 February 2021, Version of Record 19 February 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102537