M-HGN: Multi-information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension

Author:

Gao Xiaoqian,Zhou Xiabing,Cao Rui,Zhang Min

Publisher

Springer Nature Singapore

Reference27 articles.

1. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT, pp. 4171–4186 (2019)

2. Gao, X., Zhou, X., Zhang, M.: A multi-information perception based method for question answering in multi-party conversation. Beijing Da Xue Xue Bao 59(1), 21–29 (2023)

3. Ghosal, D., Majumder, N., Poria, S., Chhaya, N., Gelbukh, A.: DialogueGCN: a graph convolutional neural network for emotion recognition in conversation. In: EMNLP-IJCNLP, pp. 154–164 (2019)

4. Gu, J.C., et al.: Speaker-aware BERT for multi-turn response selection in retrieval-based chatbots. In: CIKM, pp. 2041–2044 (2020)

5. Gu, J.C., Tao, C., Ling, Z.H., Xu, C., Geng, X., Jiang, D.: MPC-BERT: a pre-trained language model for multi-party conversation understanding. In: ACL, pp. 3682–3692 (2021)

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