338 citations · 757 across the 20 of their papers we have counts for
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cs.CL2019
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
Surabhi Datta, Yuqi Si, Laritza Rodriguez +3
We define a representation framework for extracting spatial information from radiology reports (Rad-SpRL). We annotated a total of 2000 chest X-ray reports with 4 spatial roles cor…
q-bio.QM2019
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes
Surabhi Datta, Elmer V Bernstam, Kirk Roberts
Objective: There is a lot of information about cancer in Electronic Health Record (EHR) notes that can be useful for biomedical research provided natural language processing (NLP)…
cs.CL2019★ 338 cited
Enhancing Clinical Concept Extraction with Contextual Embeddings
Yuqi Si, Jingqi Wang, Hua Xu +1
Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Rec…