3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2021
Deep Keyphrase Completion
Yu Zhao, Jia Song, Huali Feng +4
Keyphrase provides accurate information of document content that is highly compact, concise, full of meanings, and widely used for discourse comprehension, organization, and text r…
cs.CL2020
Connecting Embeddings for Knowledge Graph Entity Typing
Yu Zhao, Anxiang Zhang, Ruobing Xie +2
Knowledge graph (KG) entity typing aims at inferring possible missing entity type instances in KG, which is a very significant but still under-explored subtask of knowledge graph c…
cs.AI2019★ 3 cited
SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement
Yu Zhao, Ji Liu
Knowledge graph (KG) refinement mainly aims at KG completion and correction (i.e., error detection). However, most conventional KG embedding models only focus on KG completion with…