30 citations · 33 across the 6 of their papers we have counts for
9 papers
Extracting Concepts for Precision Oncology from the Biomedical Literature
Nicholas Greenspan, Yuqi Si, Kirk Roberts
This paper describes an initial dataset and automatic natural language processing (NLP) method for extracting concepts related to precision oncology from biomedical research articl…
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…
Patient Cohort Retrieval using Transformer Language Models
Sarvesh Soni, Kirk Roberts
We apply deep learning-based language models to the task of patient cohort retrieval (CR) with the aim to assess their efficacy. The task of CR requires the extraction of relevant…
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature
Sarvesh Soni, Kirk Roberts
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, primarily through the use of text mining and search tools. This has led to…
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
Ellen Voorhees, Tasmeer Alam, Steven Bedrick +6
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pand…
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…