Hui Su
Hui Su
Pattern recognition center, Wechat, Tencent
Verified email at tencent.com
TitleCited byYear
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Y Li, H Su, X Shen, W Li, Z Cao, S Niu
arXiv preprint arXiv:1710.03957, 2017
912017
A conditional variational framework for dialog generation
X Shen, H Su, Y Li, W Li, S Niu, Y Zhao, A Aizawa, G Long
arXiv preprint arXiv:1705.00316, 2017
482017
Improving variational encoder-decoders in dialogue generation
X Shen, H Su, S Niu, V Demberg
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
262018
Dialogue generation with GAN
H Su, X Shen, P Hu, W Li, Y Chen
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
42018
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
X Shen, H Su, W Li, D Klakow
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
22018
Improving Multi-turn Dialogue Modelling with Utterance ReWriter
H Su, X Shen, R Zhang, F Sun, P Hu, C Niu, J Zhou
arXiv preprint arXiv:1906.07004, 2019
12019
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension
Q Li, H Su, C NIU, D Wang, Z Li, S Feng
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 38-47, 2019
2019
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator
X Shen, Y Zhao, H Su, D Klakow
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
2019
Select and Attend: Towards Controllable Content Selection in Text Generation
X Shen, J Suzuki, K Inui, H Su, D Klakow, S Sekine
arXiv preprint arXiv:1909.04453, 2019
2019
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
H Su, X Shen, W Li, D Klakow
arXiv preprint arXiv:1810.00671, 2018
2018
Towards Better Variational Encoder-Decoders in Seq2Seq Tasks
X Shen, H Su
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2018
Wake-Sleep Variational Autoencoders for Language Modeling
X Shen, H Su, S Niu, D Klakow
International Conference on Neural Information Processing, 405-414, 2017
2017
Contextual and Feature-based Models by PolyU Team at the NTCIR-13 STC-2 Task
Y Li, H Su, W Li
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Articles 1–13