16 citations · 20 across the 4 of their papers we have counts for
6 papers
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning
Hongyi Yuan, Zheng Yuan, Sheng Yu
Entities lie in the heart of biomedical natural language understanding, and the biomedical entity linking (EL) task remains challenging due to the fine-grained and diversiform conc…
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…
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Hongyi Yuan, Zheng Yuan, Ruyi Gan +3
Pretrained language models have served as important backbones for natural language processing. Recently, in-domain pretraining has been shown to benefit various domain-specific dow…
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations
Sihang Zeng, Zheng Yuan, Sheng Yu
Term clustering is important in biomedical knowledge graph construction. Using similarities between terms embedding is helpful for term clustering. State-of-the-art term embeddings…
CODER: Knowledge infused cross-lingual medical term embedding for term normalization
Zheng Yuan, Zhengyun Zhao, Haixia Sun +3
This paper proposes CODER: contrastive learning on knowledge graphs for cross-lingual medical term representation. CODER is designed for medical term normalization by providing clo…
Word Segmentation as Graph Partition
Yuanhao Liu, Sheng Yu
We propose a new approach to the Chinese word segmentation problem that considers the sentence as an undirected graph, whose nodes are the characters. One can use various technique…