Improving neural relation extraction with implicit mutual relations

• Main Authors: KUANG, Jun, CAO, Yixin, ZHENG, Jianbing, HE, Xiangnan, GAO, Ming, ZHOU, Aoying
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Relation extraction; implicit mutual relations; unlabeled data; entity information; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7480; https://ink.library.smu.edu.sg/context/sis_research/article/8483/viewcontent/09101658__1_.pdf
• Institution: Singapore Management University

Relation extraction (RE) aims at extracting the relation between two entities from the text corpora. It is a crucial task for Knowledge Graph (KG) construction. Most existing methods predict the relation between an entity pair by learning the relation from the training sentences, which contain the t...