Comments (1)
Hi, thanks for your interest!
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We use simple name match to link entities in UMLS and mentions in PubMed. Since the medical entity names are usually complex, by simple matching we can get a good linking result. UMLS has provided relations between entities so we can follow the standard distant supervision procedure.
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Basically, it takes half to one minute to annotate one sentence. Compared to general domain dataset, the annotation process is harder, but not much medical background is needed. However, it does need some simple biomedical knowledge to correctly identify the relation. For example, knowing what cytoplasm is.
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This is a joint work with Tencent Wechat AI, so we used their platform.
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