SGAT: a Self-supervised Graph Attention Network for Biomedical Relation Extraction.
Qiming LiuZhihao YangLei WangYin ZhangHongfei LinJinzhong NingPublished in: BIBM (2021)
Keyphrases
- relation extraction
- information extraction
- entity extraction
- manually annotated
- automatic extraction
- domain specific
- named entities
- semantic relations
- structured data
- question answering
- dependency trees
- tree kernels
- semantic features
- semantic role labeling
- information retrieval
- ontology learning
- similarity measure
- broad coverage
- high level