TY - GEN
T1 - BioCreative/OHNLP Challenge 2018
AU - Rastegar-Mojarad, Majid
AU - Liu, Sijia
AU - Wang, Yanshan
AU - Afzal, Naveed
AU - Wang, Liwei
AU - Shen, Feichen
AU - Fu, Sunyang
AU - Liu, Hongfang
N1 - Publisher Copyright:
© 2018 Authors.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - The application of Natural Language Processing (NLP) methods and resources to clinical and biomedical text has received growing attention over the past years, but progress has been limited by difficulties to access shared tools and resources, partially caused by patient privacy and data confidentiality constraints. Efforts to increase sharing and interoperability of the few existing resources are needed to facilitate the progress observed in the general NLP domain. Leveraging our research in corpus analysis and de-identification research, we have created multiple synthetic data sets for a couple of NLP tasks based on real clinical sentences. We are organizing a challenge workshop to promote community efforts towards the advancement in clinical NLP. The challenge workshop will have two tasks: 1) Family History Information Extraction; and 2) Clinical Semantic Textual Similarity.
AB - The application of Natural Language Processing (NLP) methods and resources to clinical and biomedical text has received growing attention over the past years, but progress has been limited by difficulties to access shared tools and resources, partially caused by patient privacy and data confidentiality constraints. Efforts to increase sharing and interoperability of the few existing resources are needed to facilitate the progress observed in the general NLP domain. Leveraging our research in corpus analysis and de-identification research, we have created multiple synthetic data sets for a couple of NLP tasks based on real clinical sentences. We are organizing a challenge workshop to promote community efforts towards the advancement in clinical NLP. The challenge workshop will have two tasks: 1) Family History Information Extraction; and 2) Clinical Semantic Textual Similarity.
KW - Information extraction
KW - Natural language processing
KW - Semantic textual similarity
UR - http://www.scopus.com/inward/record.url?scp=85055937336&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055937336&partnerID=8YFLogxK
U2 - 10.1145/3233547.3233672
DO - 10.1145/3233547.3233672
M3 - Conference contribution
AN - SCOPUS:85055937336
T3 - ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
SP - 575
BT - ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
PB - Association for Computing Machinery, Inc
T2 - 9th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2018
Y2 - 29 August 2018 through 1 September 2018
ER -