2019 n2c2/OHNLP Shared Task on Challenges in Natural Language Processing for Clinical Data.
Wang Sam
Announcement and Call for Participation
Registration is open at https://n2c2.dbmi.hms.harvard.edu
We are pleased to announce the 2019 n2c2/OHNLP Shared Task on Challenges in Natural Language Processing for Clinical Data.
This year, National NLP Clinical Challenges (n2c2, formerly known as i2b2 NLP Shared Tasks) has teamed up with the Open Health Natural Language Processing (OHNLP) Initiative at Mayo Clinic to bring you two tasks:
Track 1: n2c2/OHNLP Track on Clinical Semantic Textual Similarity
This task extends the BioCreative/OHNLP 2018 task on the same topic to new synthetic clinical notes.
Track 2: n2c2/OHNLP Track on Family History Extraction
This task extends the BioCreative/OHNLP 2018 task on family history information extraction from synthetic notes.
In addition, we are happy to share with you the first community-led n2c2-spinoff shared task organized by University of Massachusetts at Lowell:
Track 3: n2c2/UMass Track on Clinical Concept Normalization
The three tracks will run on similar timelines and will be coordinated with respect to their dissemination efforts and the accompanying workshop.
Rough timeline is as follows:
Registration begins: April 2019
Training Data Release: May 2019
Test Data Release: July 2019
Papers due: August 2019
Workshop: November 2019
Organizing Committee
Ozlem Uzuner, PhD, FACMI, George Mason University
Yanshan Wang, PhD, Mayo Clinic
Feichen Shen, PhD, Mayo Clinic
Anna Rumshisky, PhD, University of Massachusetts at Lowell
Edward Luo, University of Massachusetts at Lowell