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Understanding and Mitigating the Uncertainty in Zero-Shot Translation


May 20, 2022
Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu

* work in progress 

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Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation


Mar 16, 2022
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael Lyu

* Accepted by ACL 2022 main conference 

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Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation


Jun 02, 2021
Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King

* ACL 2021 main conference, long paper, 11 pages 

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Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation


Oct 24, 2020
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, Xing Wang


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Exploiting Unsupervised Data for Emotion Recognition in Conversations


Oct 06, 2020
Wenxiang Jiao, Michael R. Lyu, Irwin King

* Accepted to the Findings of EMNLP 2020, 8 pages (published version of arXiv:1910.08916) 

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Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation


Oct 06, 2020
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu

* Accepted to EMNLP 2020 main conference, 12 pages 

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Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network


Nov 20, 2019
Wenxiang Jiao, Michael R. Lyu, Irwin King

* AAAI 2020, 8 pages, 5 figures 

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Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling


Oct 21, 2019
Wenxiang Jiao, Irwin King, Michael R. Lyu

* 10 pages 

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PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition


Oct 20, 2019
Wenxiang Jiao, Michael R. Lyu, Irwin King

* 10 pages, 3 figures 

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