16 citations · 22 across the 13 of their papers we have counts for
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cs.LG2022★ 1 cited
Knowledge-Enhanced Relation Extraction Dataset
Yucong Lin, Hongming Xiao, Jiani Liu +4
Recently, knowledge-enhanced methods leveraging auxiliary knowledge graphs have emerged in relation extraction, surpassing traditional text-based approaches. However, to our best k…
cs.LG2022
Multimodal Learning on Graphs for Disease Relation Extraction
Yucong Lin, Keming Lu, Sheng Yu +2
Objective: Disease knowledge graphs are a way to connect, organize, and access disparate information about diseases with numerous benefits for artificial intelligence (AI). To crea…
cs.LG2020★ 3 cited
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records
Yucong Lin, Keming Lu, Yulin Chen +2
Objective: Medical relations are the core components of medical knowledge graphs that are needed for healthcare artificial intelligence. However, the requirement of expert annotati…