Projects per year
Abstract
This study describes the model design of the NCUEE system for the MEDIQA challenge at the ACL-BioNLP 2019 workshop. We use the BERT (Bidirectional Encoder Representations from Transformers) as the word embedding method to integrate the BiLSTM (Bidirectional Long Short-Term Memory) network with an attention mechanism for medical text inferences. A total of 42 teams participated in natural language inference task at MEDIQA 2019. Our best accuracy score of 0.84 ranked the top-third among all submissions in the leaderboard.
Original language | English |
---|---|
Title of host publication | BioNLP 2019 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 18th BioNLP Workshop and Shared Task |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 528-532 |
Number of pages | 5 |
ISBN (Electronic) | 9781950737284 |
DOIs | |
State | Published - 2019 |
Event | 18th SIGBioMed Workshop on Biomedical Natural Language Processing, BioNLP 2019 - Florence, Italy Duration: 1 Aug 2019 → … |
Publication series
Name | BioNLP 2019 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 18th BioNLP Workshop and Shared Task |
---|
Conference
Conference | 18th SIGBioMed Workshop on Biomedical Natural Language Processing, BioNLP 2019 |
---|---|
Country/Territory | Italy |
City | Florence |
Period | 1/08/19 → … |
Fingerprint
Dive into the research topics of 'NCUEE at MEDIQA 2019: Medical text inference using ensemble BERT-BiLSTM-attention model'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Chinese Knowledge Base Construction and Applications for Medical Healthcare Domain(3/3)
Lee, L.-H. (PI)
1/05/21 → 31/07/22
Project: Research