Robust triple extraction with cascade bidirectional capsule network
作者：
Highlights：
• The first model using capsule network in triple extraction.
• Modeling the parts-wholes between entities and relations.
• A robust model for triple extraction with diverse surface forms.
• Can handle overlapping relational triples.
• Good performance in benchmarks and obtain better results in robust settings.
摘要
•The first model using capsule network in triple extraction.•Modeling the parts-wholes between entities and relations.•A robust model for triple extraction with diverse surface forms.•Can handle overlapping relational triples.•Good performance in benchmarks and obtain better results in robust settings.
论文关键词：Triple extraction,Relation extraction,Entity recognition
论文评审过程：Received 19 August 2020, Revised 25 June 2021, Accepted 23 August 2021, Available online 24 September 2021, Version of Record 29 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115806
