BERT Fine-Tuning the Covid-19 Open Research Dataset for Named Entity Recognition

Author:

Thant Shin,Racharak TeeradajORCID,Andres FredericORCID

Publisher

Springer Nature Singapore

Reference21 articles.

1. Scherbakov, V., Mayorov, V.: Finetuning BERT on partially annotated NER corpora. arXiv. (2022). https://doi.org/10.48550/arXiv.2211.14360

2. Park, Y.I., Lee, M., Yang, G., Park, S.J., Sohn, C.: Biomedical text NER tagging tool with web interface for generating BERT-based fine-tuning dataset. Appl. Sci. 12, 12012 (2022)

3. Balkus, S.V., Yan, D.: Improving short text classification with augmented data using GPT-3. ArXiv, abs/2205.10981 (2022)

4. Kieuvongngam, V., Tan, B., Niu, Y.: Automatic text summarization of COVID-19 medical research articles using BERT and GPT-2. ArXiv, abs/2006.01997 (2020)

5. Maltoudoglou, L., Paisios, A., Papadopoulos, H.: BERT-based conformal predictor for sentiment analysis. In Conformal and Probabilistic Prediction and Applications, pp. 269–284. PMLR (2020)

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