Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework

Author:

Tang Liang,Qi Qianqian,Shang Qinghua,Cai Yuguang,Liu Jiamou,Witbrock Michael,lv Kaokao

Publisher

Springer Nature Singapore

Reference12 articles.

1. Aniol, A., Pietron, M., Duda, J.: Ensemble approach for natural language question answering problem. In: 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW), pp. 180–183. IEEE (2019)

2. Clark, K., Luong, M.T., Le, Q.V., Manning, C.D.: Electra: pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555 (2020)

3. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

4. Lan, Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., Soricut, R.: ALBERT: a lite BERT for self-supervised learning of language representations. arXiv preprint arXiv:1909.11942 (2019)

5. Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)

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