12 citations · 25 across the 7 of their papers we have counts for
4 papers · 1 filter
Generative Entity Typing with Curriculum Learning
Siyu Yuan, Deqing Yang, Jiaqing Liang +4
Entity typing aims to assign types to the entity mentions in given texts. The traditional classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to…
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
Jiaxin Yu, Deqing Yang, Shuyu Tian
Compared with traditional sentence-level relation extraction, document-level relation extraction is a more challenging task where an entity in a document may be mentioned multiple…
A Question-answering Based Framework for Relation Extraction Validation
Jiayang Cheng, Haiyun Jiang, Deqing Yang +1
Relation extraction is an important task in knowledge acquisition and text understanding. Existing works mainly focus on improving relation extraction by extracting effective featu…
Complex Relation Extraction: Challenges and Opportunities
Haiyun Jiang, Qiaoben Bao, Qiao Cheng +3
Relation extraction aims to identify the target relations of entities in texts. Relation extraction is very important for knowledge base construction and text understanding. Tradit…