Author:
Dou Ruolin,Liang Dong,Wang Nan,Wang Junxuan
Publisher
Atlantis Press International BV
Reference9 articles.
1. Sundaram S S, Gurajada S, Fisichella M, et al. Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers[J]. arXiv preprint arXiv:2205.15683, 2022.
2. S. Ughade and S. Kumbhar, “Survey on mathematical word problem 1018 solving using natural language processing,” in Proc. 1st Int. Conf. Innov. 1019 Inf. Commun. Technol. (ICIICT), Apr. 2019, pp. 1–5.
3. Y. Wang, X. Liu, and S. Shi, “Deep neural solver for math word problems,” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 845–854, 2017.
4. Z. Liang, J. Zhang, L. Wang, W. Qin, Y. Lan, J. Shao, X. Zhang, “MWP-BERT: Numeracy-augmented pre-training for math word problem solving,” Proceedings of the 2022 Conference on Association for Computational Linguistics (NAACL 2022), pp. 997–1009, 2022.
5. J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training 1072 of deep bidirectional transformers for language understanding,” 2018, 1073. arXiv:1810.04805