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Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction., , , and . COLING, page 4765-4775. International Committee on Computational Linguistics, (2022)Is Language Modeling Enough? Evaluating Effective Embedding Combinations., , , , , and . LREC, page 4739-4748. European Language Resources Association, (2020)How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations, , , and . (2019)cite arxiv:1909.04925Comment: Accepted at CIKM 2019.This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text, , , , , , and . CoRR, (2022)Cross-Lingual Knowledge Transfer for Clinical Phenotyping., , , , , , , and . LREC, page 900-909. European Language Resources Association, (2022)ATR's Artificial Brain ("Cam-Brain") Project a Sample of what Individual "CoDi-1Bit" Model Evolved Neural Net Modules can do with Digital and Analog I/O., , , , , and . Evolvable Hardware, page 102-110. IEEE Computer Society, (1999)ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do., , , and . CEC, page 1979-1987. IEEE, (1999)VisBERT: Hidden-State Visualizations for Transformers., , , and . CoRR, (2020)Learning Precise Timing with LSTM Recurrent Networks., , and . J. Mach. Learn. Res., (2002)IDEL: In-Database Neural Entity Linking., , , , , and . BigComp, page 1-8. IEEE, (2019)