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Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Oct 25, 2020
Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong

* 19 pages, accepted by EMNLP 2020 main conference as a long paper. Code will be available at https://github.com/salesforce/DNNC-few-shot-intent 

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Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks

Oct 14, 2020
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu

* Accepted by ICPR 2020 

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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Sep 26, 2020
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

* 9 pages, 7 figures 

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Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Oct 10, 2019
Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong


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Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking

Aug 16, 2019
Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu

* This paper is accepted by ICDM'19 as a short paper 

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Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce

Apr 03, 2019
Jian-Guo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu

* Accepted by NAACL-HLT 2019. arXiv admin note: substantial text overlap with arXiv:1811.04498 

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Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Nov 17, 2018
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu


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Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training

Nov 12, 2018
Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu


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Product Title Refinement via Multi-Modal Generative Adversarial Learning

Nov 11, 2018
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu

* Workshop on Visually Grounded Interaction and Language, NIPS, 2018 

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