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Springer International Publishing
Reference15 articles.
1. 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. 3615–3620. Association for Computational Linguistics, Hong Kong (2019). https://doi.org/10.18653/v1/D19-1371. https://www.aclweb.org/anthology/D19-1371
2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(null), 993–1022 (2003)
3. Borrajo, M., Romero, R., Iglesias, E., Marey, C.: Improving imbalanced scientific text classification using sampling strategies and dictionaries. J. Integr. Bioinform. 8, 90–104 (2011). https://doi.org/10.1515/jib-2011-176
4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);MD Cao,2005
5. Chang, M.W., Ratinov, L.A., Roth, D., Srikumar, V.: Importance of semantic representation: dataless classification. In: AAAI (2008)
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