Named entity recognition for extracting concept in ontology building on Indonesian language using end-to-end bidirectional long short term memory

作者：

Highlights：

• Indonesian language End-to-End Named Entity Recognition (NER) model.

• Perform Concept Extraction in Ontology Building using Named Entity Recognition.

• Multitask architecture consists of Part-of-Speech Tagging and NER.

• The system has achieved better performances compared to other models.

摘要

•Indonesian language End-to-End Named Entity Recognition (NER) model.•Perform Concept Extraction in Ontology Building using Named Entity Recognition.•Multitask architecture consists of Part-of-Speech Tagging and NER.•The system has achieved better performances compared to other models.

论文关键词：Named entity recognition,Ontology building,Concept extraction,Indonesian language,Information extraction,End-to-end model

论文评审过程：Received 1 February 2020, Revised 24 August 2020, Accepted 3 March 2021, Available online 13 March 2021, Version of Record 10 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114856