16 citations · 18 across the 4 of their papers we have counts for
4 papers
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
Sheng Yu, Zheng Yuan, Jun Xia +11
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures for biomedical and healthcare big data and artificial intelligence (AI), facilitating natural language process…
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection
Shengxuan Luo, Sheng Yu
Knowledge graph integration typically suffers from the widely existing dangling entities that cannot find alignment cross knowledge graphs (KGs). The dangling entity set is unavail…
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases
Shengxuan Luo, Pengyu Cheng, Sheng Yu
Entity alignment (EA) merges knowledge graphs (KGs) by identifying the equivalent entities in different graphs, which can effectively enrich knowledge representations of KGs. Howev…
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
Shengxuan Luo, Huaiyuan Ying, Jiao Li +1
Objective: Today's neural machine translation (NMT) can achieve near human-level translation quality and greatly facilitates international communications, but the lack of parallel…