Self-supervised Segment Contrastive Learning for Medical Document Representation

Author:

Abro Waheed AhmedORCID,Kteich HananeORCID,Bouraoui ZiedORCID

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Abacha, A.B., Yim, W.w., Michalopoulos, G., Lin, T.: An investigation of evaluation methods in automatic medical note generation. In: ACL, pp. 2575–2588 (2023)

2. Abro, W.A., Aicher, A., Rach, N., Ultes, S., Minker, W., Qi, G.: Natural language understanding for argumentative dialogue systems in the opinion building domain. Knowl.-Based Syst. 242, 108318 (2022)

3. Alsentzer, E., et al.: Publicly available clinical BERT embeddings. arXiv preprint arXiv:1904.03323 (2019)

4. Clark, K., Luong, M.T., Le, Q.V., Manning, C.D.: ELECTRA: pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555 (2020)

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL, pp. 4171–4186 (2019)

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