KnowReQA: A Knowledge-aware Retrieval Question Answering System

Author:

Wang Chuanrui,Bai Jun,Zhang Xiaofeng,Yan Cen,Ouyang Yuanxin,Rong Wenge,Xiong Zhang

Publisher

Springer International Publishing

Reference24 articles.

1. Abbasiantaeb, Z., Momtazi, S.: Text-based question answering from information retrieval and deep neural network perspectives: a survey. WIREs Data Min. Knowl. Disc. 11(6), e1412 (2021)

2. Ahmad, A., Constant, N., Yang, Y., Cer, D.: ReQA: an evaluation for end-to-end answer retrieval models. In: Proceedings of the 2nd Workshop on Machine Reading for Question Answering, pp. 137–146 (2019)

3. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.E.: A simple framework for contrastive learning of visual representations. In: Proceedings of the 37th International Conference on Machine Learning, pp. 1597–1607 (2020)

4. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 4171–4186 (2019)

5. Ferragina, P., Scaiella, U.: Fast and accurate annotation of short texts with wikipedia pages. IEEE Softw. 29(1), 70–75 (2011)

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