3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2023
Unifying Structure and Language Semantic for Efficient Contrastive Knowledge Graph Completion with Structured Entity Anchors
Sang-Hyun Je, Wontae Choi, Kwangjin Oh
The goal of knowledge graph completion (KGC) is to predict missing links in a KG using trained facts that are already known. In recent, pre-trained language model (PLM) based metho…
cs.LG2022★ 3 cited
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding
Sang-Hyun Je
Knowledge graph (KG) embedding is widely used in many downstream applications using KGs. Generally, since KGs contain only ground truth triples, it is necessary to construct arbitr…
cs.CL2022
OASYS: Domain-Agnostic Automated System for Constructing Knowledge Base from Unstructured Text
Minsang Kim, Sang-hyun Je, Eunjoo Park
In recent years, creating and managing knowledge bases have become crucial to the retail product and enterprise domains. We present an automatic knowledge base construction system…