Joint aspect terms extraction and aspect categories detection via multi-task learning

作者：

Highlights：

• A model that jointly addresses aspect term extraction and aspect category detection.

• A multi-task learning algorithm that allows the two tasks to enhance each other.

• Extensive experiments to demonstrate the effectiveness of the proposed model.

摘要

•A model that jointly addresses aspect term extraction and aspect category detection.•A multi-task learning algorithm that allows the two tasks to enhance each other.•Extensive experiments to demonstrate the effectiveness of the proposed model.

论文关键词：Aspect terms extraction,Aspect categories detection,Joint model,Multi-task learning

论文评审过程：Received 31 October 2019, Revised 3 January 2021, Accepted 1 February 2021, Available online 19 February 2021, Version of Record 4 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114688