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The success of pre-trained word embeddings has motivated its use in tasks in the biomedical domain.
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
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Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices
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Synthetic and Natural Noise Both Break Neural Machine Translation. In International Conference on Learning Representations
Yonatan Belinkov and Yonatan Bisk. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Stress Test Evaluation for Natural Language Inference. In The 27th International Conference on Computational Linguistics (COLING) . Santa Fe, New Mexico, USA
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, and Graham Neubig. 2018 · 2018
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Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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ChemProt-3.0: a global chemical biology diseases mapping
J. Kringelum, S. K. Kjaerulff, S. Brunak, O. Lund, T. I. Oprea, and O. Taboureau. 2016 · 2016
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BIOSSES: a semantic sentence similarity estimation system for the biomedical domain
Gizem Soğancıoğlu, Hakime Öztürk, and Arzucan Özgür. 2017 · 2017
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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar and Ajmal Mian. 2018 · 2018
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Common errors to look out for in medical papers
Nikhil Pinto. [n.d.]
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Comparing Word Embeddings for Document Screening based on Active Learning. In Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019)
Andres Carvallo and Denis Parra. 2019 · 2019
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Adversarial attacks on medical machine learning
Samuel G. Finlayson, John D. Bowers, Joichi Ito, Jonathan L. Zittrain, Andrew L. Beam, and Isaac S. Kohane. 2019 · 2019
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Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. In Proceedings of the 2019 Workshop on Biomedical Natural Language Processing (BioNLP 2019)
Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 2019
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Adversarial Examples for Evaluating Reading Comprehension Systems. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Copenhagen, Denmark, 2021–2031
Robin Jia and Percy Liang. 2017 · 2031
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