Representing Semantified Biological Assays in the Open Research Knowledge Graph-Reference-Cited by-同舟云学术

Representing Semantified Biological Assays in the Open Research Knowledge Graph

Published:2020 Issue: Volume: Page:89-98
ISSN:0302-9743
Container-title:Digital Libraries at Times of Massive Societal Transition
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Author:

Anteghini Marco^ORCID,D’Souza Jennifer^ORCID,Martins dos Santos Vitor A. P.^ORCID,Auer Sören^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-64452-9_8

Reference26 articles.

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3. Baas, J., Schotten, M., Plume, A., Côté, G., Karimi, R.: Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quant. Sci. Stud. 1(1), 377–386 (2020)

4. Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 3606–3611 (2019)

5. Bianchi, F., Rossiello, G., Costabello, L., Palmonari, M., Minervini, P.: Knowledge graph embeddings and explainable AI. arXiv preprint arXiv:2004.14843 (2020)

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