Material Named Entity Recognition (MNER) for Knowledge-Driven Materials Using Deep Learning Approach-Reference-Cited by-同舟云学术

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Material Named Entity Recognition (MNER) for Knowledge-Driven Materials Using Deep Learning Approach

Published:2023 Issue: Volume: Page:199-208
ISSN:2367-3370
Container-title:Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering
language:
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Author:

Saef Ullah Miah M.^ORCID,Sulaiman Junaida^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9483-8_17

Reference25 articles.

1. Ahmed S et al (2022) Toward machine learning-based psychological assessment of autism spectrum disorders in school and community. In: Proceedings TEHI, pp 139–149

2. Al Banna M et al (2020) A monitoring system for patients of autism spectrum disorder using artificial intelligence. In: Proceedings of brain informatics, pp 251–262

3. Court CJ, Cole JM (2018) Auto-generated materials database of curie and néel temperatures via semi-supervised relationship extraction. Sci Data 5(1):1–12

4. Ghosh T et al (2021) Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustain Cities Soc 74:103189

5. Goyal A, Gupta V, Kumar M (2018) Recent named entity recognition and classification techniques: a systematic review. Comput Sci Rev 29:21–43

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