Development of Language Model on Biomedical Domain to Pretrain Natural Language Processing-Reference-Cited by-同舟云学术

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Development of Language Model on Biomedical Domain to Pretrain Natural Language Processing

Published:2024-05-09 Issue: Volume:21 Page:1591-1595
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
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Author:

Gunturu Vijaya¹,Priya Yadavalli Devi²,Bachhav Gayatri Vijayendra³,Praveena K⁴,J Anandhi R⁵,Dhaliwal Navdeep⁶

Affiliation:

1. School of Engineering, SR University,Department of ECE,Warangal,Telangana,India

2. Computer Science and Engineering, Vignan's Institute of Information Technology,Duvvada, Vishakapatanam,Andhra Pradesh

3. VPPCOE and VA Sion Mumbai, Mumbai University

4. Institute of Aeronautical Engineering,Dundigal, Hyderabad

5. New Horizon College of Engineering,Department of Information Science Engineering,Bangalore

6. Lovely Professional University,Phagwara,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593288.pdf?arnumber=10593288

Reference18 articles.

1. Pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv preprint,2018

2. Exploring the limits of transfer learning with a unified text-to-text transformer;Raffel;Journal of machine learning research,2020

3. SciBERT: A Pretrained Language Model for Scientific Text

4. Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

5. Fine-tuning large neural language models for biomedical natural language processing

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