Author:
Tang Zhan,Kou Xupeng,Xue Hongcheng,Xia Yuantian
Publisher
Springer Nature Singapore
Reference28 articles.
1. Tang, Z., Guo, X., Bai, Z., Diao, L., Lu, S., Li, L.: A protein-protein interaction extraction approach based on large pre-trained language model and adversarial training. KSII Trans. Internet Inf. Syst. 16(3), 771–791 (2022)
2. Nakajima, N., Akutsu, T., Nakato, R.: Databases for Protein–Protein Interactions. In: Cecconi, D. (ed.) Proteomics Data Analysis, pp. 229–248. Springer US, New York, NY (2021). https://doi.org/10.1007/978-1-0716-1641-3_14
3. Lin, S.-H., Ding, S.-H., Zeng, W.-S.: Protein Name Recognition Based on Dictionary Mining and Heuristics. In: Qianping, Gu., Hell, P., Yang, B. (eds.) AAIM 2014. LNCS, vol. 8546, pp. 75–87. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07956-1_8
4. Sohrab, M.G., Miwa, M.: Deep exhaustive model for nested named entity recognition. In: oct-nov 2018; Brussels, Belgium. Association for Computational Linguistics, pp. 2843–2849 (2018). https://doi.org/10.18653/v1/D18-1309
5. Chiu, J.P.C., Nichols, E.: Named entity recognition with bidirectional LSTM-CNNs. Trans. Assoc. Comput. Linguist. 4, 357–370 (2016). https://doi.org/10.1162/tacl_a_00104