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NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model

Lung-Hao Lee, Yi Lu, Po-Han Chen, Po-Lei Lee, Kuo-Kai Shyu
2019 Proceedings of the 18th BioNLP Workshop and Shared Task  
This study describes the model design of the NCUEE system for the MEDIQA challenge at the ACL-BioNLP 2019 workshop.  ...  for medical text inferences.  ...  This paper describes the NCUEE (National Central University, Dept. of Electrical Engineering) system for the NLI task of the MEDIQA challenge at the ACL-BioNLP 2019 workshop.  ... 
doi:10.18653/v1/w19-5058 dblp:conf/bionlp/LeeLCLS19 fatcat:aoytojqr4remlflj4ux7i3xdsu

[Re] Reproducibility study - Does enforcing diversity in hidden states of LSTM-Attention models improve transparency?

Pieter Bouwman, Yun Li, Rogier Van Der Weerd, Frank Verhoef
2021 Zenodo  
(more complex forms of attention and a BiLSTM encoder).  ...  In the paper Towards Transparent and Explainable Attention Models Mohankumar et al. 2 propose two methods to enhance faithfulness and plausibility of the explanations provided by an LSTM model combined  ...  "NCUEE at MEDIQA 2019: medical text inference using ensemble BERT-BiLSTM-Attention model." In: Proceedings of the 18th BioNLP Workshop and Shared Task. 2019, pp. 528-532. 8. A. Aziz Sharfuddin, M.  ... 
doi:10.5281/zenodo.4835592 fatcat:27tl63w3drcinhhkieqd4ra36q