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Developing the required technology to assist medical experts in their everyday activities is currently a hot topic in the Artificial Intelligence research field.
Language models are few-shot learners,
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RoBERTa: A Robustly Optimized BERT Pretraining Approach,
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Evidence based medicine: what it is and what it isn’t,
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Combining semantic information in question answering systems,
P. Moreda, H. Llorens, E. Saquete, M. Palomar, · 2011
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Question Answering with Subgraph Embeddings,
A. Bordes, S. Chopra, J. Weston, · 2014
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SQuAD: 100,000+ Questions for Machine Comprehension of Text,
P. Rajpurkar, J. Zhang, K. Lopyrev, P. Liang, · 2016
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RACE: Large-scale ReAding Comprehension Dataset From Examinations,
G. Lai, Q. Xie, H. Liu, Y. Yang, E. Hovy, · 2017
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Overview of the medical question answering task at TREC 2017 LiveQA.,
A. B. Abacha, E. Agichtein, Y. Pinter, D. Demner-Fushman, · 2017
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WIKIQA: A Challenge Dataset for Open-Domain Question Answering,
Y. Yang, W.-t. Yih, C. Meek, · 2018
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SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference,
R. Zellers, Y. Bisk, R. Schwartz, Y. Choi, · 2018
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Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks,
J. Phang, T. Févry, S. R. Bowman, · 2018
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SciBERT: A Pretrained Language Model for Scientific Text,
I. Beltagy, K. Lo, A. Cohan, · 2019
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MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension,
A. Fisch, A. Talmor, R. Jia, M. Seo, E. Choi, D. Chen, · 2019
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CoQA: A Conversational Question Answering Challenge,
S. Reddy, D. Chen, C. D. Manning, · 2019
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Natural Questions: A Benchmark for Question Answering Research,
T. Kwiatkowski, J. Palomaki, O. Redfield, M. Collins, A. Parikh, C. Alberti, D. Epstein, I. Polosukhin, J. Devlin, K. Lee, et al., · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,
J. Devlin, M.-W. Chang, K. Lee, K. Toutanova, · 2019
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Transformer-Based Neural Network for Answer Selection in Question Answering,
T. Shao, Y. Guo, H. Chen, Z. Hao, · 2019
Cited alongside, same era.
PubMedQA: A Dataset for Biomedical Research Question Answering,
Q. Jin, B. Dhingra, Z. Liu, W. Cohen, X. Lu, · 2019
Cited alongside, same era.
HEAD-QA: A Healthcare Dataset for Complex Reasoning,
D. Vilares, C. Gómez-Rodríguez, · 2019
Cited alongside, same era.
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering,
A. B. Abacha, C. Shivade, D. Demner-Fushman, · 2019
Cited alongside, same era.
Results of the seventh edition of the BioASQ Challenge,
A. Nentidis, K. Bougiatiotis, A. Krithara, G. Paliouras, · 2019
Cited alongside, same era.
Unsupervised Cross-lingual Representation Learning at Scale,
Domain-specific language model pretraining for biomedical natural language processing,
Y. Gu, R. Tinn, H. Cheng, M. Lucas, N. Usuyama, X. Liu, T. Naumann, J. Gao, H. Poon, · 2021
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P. He, J. Gao, W. Chen, DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing, 2021
2021
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Transformers for Clinical Coding in Spanish,
G. López-García, J. M. Jerez, N. Ribelles, E. Alba, F. J. Veredas, · 2021
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Large Language Models Encode Clinical Knowledge,
K. Singhal, S. Azizi, T. Tu, S. S. Mahdavi, J. Wei, H. W. Chung, N. Scales, A. Tanwani, H. Cole-Lewis, S. Pfohl, et al., · 2022
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BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining,
R. Luo, L. Sun, Y. Xia, T. Qin, S. Zhang, H. Poon, T.-Y. Liu, · 2022
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A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer, V. Stoyanov, · 2019
Cited alongside, same era.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining,
J. Lee, W. Yoon, S. Kim, D. Kim, S. Kim, C. H. So, J. Kang, · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer,
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, P. J. Liu, · 2020
Cited alongside, same era.
Overview of BioASQ 2020: The eighth BioASQ challenge on large-scale biomedical semantic indexing and question answering,
A. Nentidis, A. Krithara, K. Bougiatiotis, M. Krallinger, C. Rodriguez-Penagos, M. Villegas, G. Paliouras, · 2020
Cited alongside, same era.
Spanish Pre-Trained BERT Model and Evaluation Data,
J. Cañete, G. Chaperon, R. Fuentes, J.-H. Ho, H. Kang, J. Pérez, · 2020
Cited alongside, same era.
Enhancing evidence-based medicine with natural language argumentative analysis of clinical trials,
T. Mayer, S. Marro, E. Cabrio, S. Villata, · 2021
Cited alongside, same era.
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing,
Y. Gu, R. Tinn, H. Cheng, M. R. Lucas, N. Usuyama, X. Liu, T. Naumann, J. Gao, H. Poon, · 2021
Cited alongside, same era.
TruthfulQA: Measuring How Models Mimic Human Falsehoods,
S. Lin, J. Hilton, O. Evans, · 2022
Later among the works it cites.
Sequence tagging for biomedical extractive question answering,
W. Yoon, R. Jackson, A. Lagerberg, J. Kang, · 2022
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Maria: Spanish language models,
A. Gutiérrez-Fandiño, J. Armengol-Estapé, M. Pàmies, J. Llop-Palao, J. Silveira-Ocampo, C. P. Carrino, A. Gonzalez-Agirre, C. Armentano-Oller, C. Rodriguez-Penagos, M. Villegas, · 2022
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Supervised domain adaptation for extractive question answering in Spanish,
S. Máximo, · 2022
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Overview of QuALES at IberLEF 2022: Question Answering Learning from Examples in Spanish (2022)
A. Rosá, L. Chiruzzo, L. Bouza, A. Dragonetti, S. Castro, M. Etcheverry, S. Góngora, S. Goycoechea, J. Machado, G. Moncecchi, et al., · 2022
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Pretrained Biomedical Language Models for Clinical NLP in Spanish,
C. P. Carrino, J. Llop, M. Pàmies, A. Gutiérrez-Fandiño, J. Armengol-Estapé, J. Silveira-Ocampo, A. Valencia, A. Gonzalez-Agirre, M. Villegas, · 2022
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Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings,
I. García-Ferrero, R. Agerri, G. Rigau, · 2022
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Lessons learned from the evaluation of Spanish Language Models,
R. Agerri, E. Agirre, · 2023
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Eriberta: A bilingual pre-trained language model for clinical natural language processing,
I. de la Iglesia, A. Atutxa, K. Gojenola, A. Barrena, · 2023
Closest in time.
Cross-lingual Argument Mining in the Medical Domain,
A. Yeginbergenova, R. Agerri, · 2023
Closest in time.