Empirical Analysis of Multi-label Classification on GitterCom Using BERT and ML Classifiers
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8073-4_19
Reference15 articles.
1. Parra, E., Ellis, A., Haiduc, S.: Gittercom: a dataset of open source developer communications in gitter. In: Proceedings of the 17th International Conference on Mining Software Repositories, pp. 563–567 (2020)
2. Sun, C., Qiu, X., Xu, Y., Huang, X.: How to fine-tune BERT for text classification? In: Sun, M., Huang, X., Ji, H., Liu, Z., Liu, Y. (eds.) CCL 2019. LNCS (LNAI), vol. 11856, pp. 194–206. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32381-3_16
3. Lu, Z., Du, P., Nie, J.-Y.: VGCN-BERT: augmenting BERT with graph embedding for text classification. In: Jose, J.M., et al. (eds.) ECIR 2020. LNCS, vol. 12035, pp. 369–382. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45439-5_25
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