most citedExtracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models

15 citations · 15 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2019★ 15 cited

Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models

Kathleen C. Fraser, Isar Nejadgholi, Berry De Bruijn +3

Entity recognition is a critical first step to a number of clinical NLP applications, such as entity linking and relation extraction. We present the first attempt to apply state-of…