output
20062025
most citedEnhancing Clinical Concept Extraction with Contextual Embeddings

338 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.CLShow all

4 papers · 2 filters

cs.CL2020

Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping

Surabhi Datta, Shekhar Khanpara, Roy F. Riascos +1

Classifying fine-grained ischemic stroke phenotypes relies on identifying important clinical information. Radiology reports provide relevant information with context to determine s…

cs.CL2020

RadLex Normalization in Radiology Reports

Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts

Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on stand…

cs.CL2020★ 68 cited

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model

Jingqi Wang, Noor Abu-el-rub, Josh Gray +8

The COVID-19 pandemic swept across the world rapidly, infecting millions of people. An efficient tool that can accurately recognize important clinical concepts of COVID-19 from fre…

cs.CL2020★ 5 cited

Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction

Hong Guan, Jianfu Li, Hua Xu +1

Background: Identifying relationships between clinical events and temporal expressions is a key challenge in meaningfully analyzing clinical text for use in advanced AI application…