A systemic functional linguistics approach to implicit entity recognition in tweets

作者：

Highlights：

• Formulate implicit entity recognition exploiting systemic functional linguistics.

• Provide a systematic categorization of syntagmatic and paradigmatic classes of features.

• Curate labeled resources, e.g. process types, and publicly share such resources.

• Provide detailed feature performance and error analysis of our work for better explainability.

摘要

•Formulate implicit entity recognition exploiting systemic functional linguistics.•Provide a systematic categorization of syntagmatic and paradigmatic classes of features.•Curate labeled resources, e.g. process types, and publicly share such resources.•Provide detailed feature performance and error analysis of our work for better explainability.

论文关键词：Named entity recognition,Tweet analytics,Knowledge graphs,Computational linguistics

论文评审过程：Received 8 October 2021, Revised 13 April 2022, Accepted 23 April 2022, Available online 17 May 2022, Version of Record 17 May 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102957