Language model and its interpretability in biomedicine: A scoping review-Reference-Cited by-同舟云学术

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Language model and its interpretability in biomedicine: A scoping review

Published:2024-04 Issue:4 Volume:27 Page:109334
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Lyu Daoming^ORCID,Wang Xingbo,Chen Yong,Wang Fei^ORCID

Funder

NIH

NSF

Publisher

Elsevier BV

Reference163 articles.

1. Improving Language Understanding by Generative Pre-training;Radford,2018

2. Bert: pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv,2018

3. Language models are unsupervised multitask learners;Radford;OpenAI Blog,2019

4. Deep Contextualized Word Representations. Held in New Orleans, Louisiana;Peters,2018

5. Cross-lingual language model pretraining;Conneau;Adv. Neural Inf. Process. Syst.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices;Frontiers in Public Health;2024-04-23

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