Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension
Author:
Affiliation:
1. School of Computer Science and Technology, Soochow University,Soochow,China
2. Institute for Infocomm Research, A*STAR,Singapore
Funder
National Key R&D Program of China
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191414.pdf?arnumber=10191414
Reference32 articles.
1. Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue
2. Attention is all you need;vaswani;NIPS,2017
3. Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension
4. Enhanced speaker-aware multi-party multi-turn dialogue comprehension;ma;ArXiv Preprint,2021
5. Decoupled weight decay regularization;loshchilov;Proceedings of the ICLR 2018,2018
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
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