RDoC Task at BioNLP-OST 2019

Mohammad Anani, Nazmul Kazi, Matthew Kuntz, Indika Kahanda


Abstract
BioNLP Open Shared Tasks (BioNLP-OST) is an international competition organized to facilitate development and sharing of computational tasks of biomedical text mining and solutions to them. For BioNLP-OST 2019, we introduced a new mental health informatics task called “RDoC Task”, which is composed of two subtasks: information retrieval and sentence extraction through National Institutes of Mental Health’s Research Domain Criteria framework. Five and four teams around the world participated in the two tasks, respectively. According to the performance on the two tasks, we observe that there is room for improvement for text mining on brain research and mental illness.
Anthology ID:
D19-5729
Volume:
Proceedings of the 5th Workshop on BioNLP Open Shared Tasks
Month:
November
Year:
2019
Address:
Hong Kong, China
Venue:
BioNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
216–226
Language:
URL:
https://aclanthology.org/D19-5729
DOI:
10.18653/v1/D19-5729
Bibkey:
Cite (ACL):
Mohammad Anani, Nazmul Kazi, Matthew Kuntz, and Indika Kahanda. 2019. RDoC Task at BioNLP-OST 2019. In Proceedings of the 5th Workshop on BioNLP Open Shared Tasks, pages 216–226, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
RDoC Task at BioNLP-OST 2019 (Anani et al., BioNLP 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/D19-5729.pdf