Natural Language Processing
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44622-1_15
Reference14 articles.
1. T. Gupta, M. Zaki, N.A. Krishnan, Mausam, Matscibert: a materials domain language model for text mining and information extraction. npj Comput. Mater. 8(1), 102 (2022)
2. T. Gupta, M. Zaki, N. Krishnan, et al., Discomat: distantly supervised composition extraction from tables in materials science articles (2022). arXiv:2207.01079
3. C. Manning, H. Schutze, Foundations of Statistical Natural Language Processing (MIT Press, May 1999). Google-Books-ID: 3qnuDwAAQBAJ, isbn: 978-0-262-30379-8
4. H. Huo, Z. Rong, O. Kononova, W. Sun, T. Botari, T. He, V. Tshitoyan, G. Ceder, Semi-supervised machine-learning classification of materials synthesis procedures. npj Comput. Mater. 5(1), 1–7 (2019). Number: 1 Publisher: Nature Publishing Group, issn: 2057-3960. https://doi.org/10.1038/s41524-019-0204-1. https://www.nature.com/articles/s41524-019-0204-1. Accessed 19 Oct 2020
5. V. Venugopal, S. Sahoo, M. Zaki, M. Agarwal, N.N. Gosvami, N.M.A. Krishnan, Looking through glass: knowledge discovery from materials science literature using natural language processing. Patterns 2(7), 100–290 (2021). issn: 2666-3899. https://doi.org/10.1016/j.patter.2021.100290. https://www.sciencedirect.com/science/article/pii/S2666389921001239
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