PAST PERFORMANCE IN NLP CHALLENGES
PAST PERFORMANCE IN NLP CHALLENGES
Reference
Note: Please cite the publication below in study manuscripts using CLAMP. Please inform us of your publication for our reference.
Soysal, E., Wang, J., Jiang, M., Wu, Y., Pakhomov, S., Liu, H., & Xu, H. (2017). CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines. Journal of the American Medical Informatics Association, 25(3), 331-336. Full text link
A W A R D S
CLAMP is built on award-winning methods. Our team has participated in a number of clinical NLP challenges and top ranked for various tasks (see below).
Now we have integrated such proven methods into CLAMP and make them available to the community.
2020
Chemical name detection from patent documents ( 
No.1 )
No.1 )2020
2018
n2c2 Shared Task Track 2 drug, modifiers, Adverse Drug Events
(ADE) ( No.2 )
(ADE) (
No.2 ) n2c2 Shared Task Track 2 drug-modifer, drug-ADE ( No.1 )
No.1 )2017
2017
2016
SemEvel, Tempora ( No.1 )
CEGS N-GRID, de-identification ( No.2 )
2014
SemEval, disorder, UMLS encoding ( No.1 )
2012
i2b2 Temporal ( No.1 )
2009
i2b2, medication ( No.1)
NLP Tasks:
██ Named entity recognition
██ Relation extraction
██ Encoding
██ De-identification
██ Named entity recognition
██ Relation extraction
██ Encoding
██ De-identification