Natural language processing algorithms for domain-specific data extraction in material science: Reseractor-Reference-Cited by-同舟云学术

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Natural language processing algorithms for domain-specific data extraction in material science: Reseractor

Published:2024-07-25 Issue:30 Volume:59 Page:13856-13872
ISSN:0022-2461
Container-title:Journal of Materials Science
language:en
Short-container-title:J Mater Sci

Author:

Gupta Antrakrate^ORCID,Mittal Divyansh,Goel Ojsi,Jha Shikhar Krishn^ORCID

Funder

Ministry of Education, India

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10853-024-09980-z.pdf

Reference31 articles.

1. Choudhary K, Kelley ML, (2023) ChemNLP: a natural language processing based library for materials chemistry text data. arXiv:2209.08203

2. OpenAI. (n.d.). ChatGPT — a model interacting in a conversational way, trained on more human feedback. Retrieved from https://openai.com/blog/chatgpt

3. PDF.ai — a model interacting in a conversational way, trained on more human feedback for the user uploaded pdf. Retrieved from https://pdf.ai/

4. Google LLC. (n.d.). Google Scholar. Retrieved from https://scholar.google.com/

5. Consensus. https://consensus.app/

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