References
[1]. Zongcheng Ji, Zhengdong Lu, and Hang Li. 2014. An information retrieval approach to short text conversation. arXiv preprint arXiv:1408.6988
[2]. Yu Wu, Wei Wu, Chen Xing, Ming Zhou, and Zhoujun Li. 2017. Sequential Match- ing Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 496–505, Vancouver, Canada. Association for Computational Linguistics.
[3]. Wang Lubao Research on end-to-end task-based dialogue system based on deep learning [D]. Changchun University of Technology, 2022. DOI: 10.27805/d.cnki.gccgy.2022.000447.
[4]. Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555
[5]. Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016. Hierarchical attention networks for document classifification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
[6]. Wang Kexin Research and Implementation of Intelligent Chat Robot Based on Deep Learning [D]. Heilongjiang University, 2021. DOI: 10.27123/d.cnki.ghlju.2021.000387.
[7]. Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015. Show, attend and tell: Neural image caption generation with visual attention. In International Conference on Machine Learning, pages 2048–2057.
[8]. Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma. 2016. Topic Aware Neural Response Generation. arXiv preprint arXiv:1606.08340
[9]. Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. arXiv preprint arXiv:1406.1078
[10]. Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung. 2015. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. arXiv preprint arXiv:1506.04214
Cite this article
Wang,R. (2023). Performance analysis and comparison of representative chatbots based on deep learning. Applied and Computational Engineering,6,731-737.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Zongcheng Ji, Zhengdong Lu, and Hang Li. 2014. An information retrieval approach to short text conversation. arXiv preprint arXiv:1408.6988
[2]. Yu Wu, Wei Wu, Chen Xing, Ming Zhou, and Zhoujun Li. 2017. Sequential Match- ing Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 496–505, Vancouver, Canada. Association for Computational Linguistics.
[3]. Wang Lubao Research on end-to-end task-based dialogue system based on deep learning [D]. Changchun University of Technology, 2022. DOI: 10.27805/d.cnki.gccgy.2022.000447.
[4]. Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555
[5]. Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016. Hierarchical attention networks for document classifification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
[6]. Wang Kexin Research and Implementation of Intelligent Chat Robot Based on Deep Learning [D]. Heilongjiang University, 2021. DOI: 10.27123/d.cnki.ghlju.2021.000387.
[7]. Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015. Show, attend and tell: Neural image caption generation with visual attention. In International Conference on Machine Learning, pages 2048–2057.
[8]. Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma. 2016. Topic Aware Neural Response Generation. arXiv preprint arXiv:1606.08340
[9]. Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. arXiv preprint arXiv:1406.1078
[10]. Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung. 2015. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting. arXiv preprint arXiv:1506.04214