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CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision


Jul 21, 2021
Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin


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Guided Generation of Cause and Effect


Jul 21, 2021
Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme

* accepted in IJCAI 2020 main track 

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Consistency Regularization for Cross-Lingual Fine-Tuning


Jun 15, 2021
Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei

* ACL-2021 

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BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data


Jun 14, 2021
Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu

* ACL 2021 

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Adversarial Training for Machine Reading Comprehension with Virtual Embeddings


Jun 08, 2021
Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu

* Accepted to *SEM 2021 workshop at ACL 2021 

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GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling


Jun 03, 2021
Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu

* Accepted at ACL2021 (main conference) 

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Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection


May 31, 2021
Ting Liu, Jungang Yang, Boyang Li, Chao Xiao, Yang Sun, Yingqian Wang, Wei An


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Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization


May 28, 2021
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu

* ACL 2021 

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ExpMRC: Explainability Evaluation for Machine Reading Comprehension


May 10, 2021
Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang

* 10 pages 

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DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension


Apr 26, 2021
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu

* Accepted by IJCNN 2021 

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Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification


Apr 17, 2021
Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu

* 11 pages 

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Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification


Apr 06, 2021
Suncheng Xiang, Yuzhuo Fu, Mengyuan Guan, Ting Liu


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A Survey on Spoken Language Understanding: Recent Advances and New Frontiers


Mar 04, 2021
Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu

* Survey for SLU Direction. Resources in \url{https://github.com/yizhen20133868/Awesome-SLU-Survey

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Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering


Feb 07, 2021
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu

* 10 pages 

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Discovering Dialog Structure Graph for Open-Domain Dialog Generation


Dec 31, 2020
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu


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Multiple Structural Priors Guided Self Attention Network for Language Understanding


Dec 29, 2020
Le Qi, Yu Zhang, Qingyu Yin, Ting Liu


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Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification


Dec 24, 2020
Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu

* Accepted by AAAI2021 (Long Paper). arXiv admin note: text overlap with arXiv:2008.06914 

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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling


Dec 13, 2020
Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu

* Accepted by AAAI-2021 

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Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization


Dec 07, 2020
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu


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Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization


Dec 02, 2020
Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris Metaxas, Ting Liu


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Biomedical Knowledge Graph Refinement with Embedding and Logic Rules


Dec 02, 2020
Sendong Zhao, Bing Qin, Ting Liu, Fei Wang


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Unsupervised Explanation Generation for Machine Reading Comprehension


Nov 13, 2020
Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu

* 10 pages 

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CharBERT: Character-aware Pre-trained Language Model


Nov 03, 2020
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu

* 12 pages, to appear at COLING 2020 

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Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification


Oct 29, 2020
Suncheng Xiang, Yuzhuo Fu, Guanjie You, Ting Liu

* submitted to ICASSP 2021. arXiv admin note: text overlap with arXiv:2006.07139 

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Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection


Oct 29, 2020
Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Ting Liu


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View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose


Oct 23, 2020
Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam

* Code is available at https://github.com/google-research/google-research/tree/master/poem . Video synchronization results are available at https://drive.google.com/corp/drive/folders/1nhPuEcX4Lhe6iK3nv84cvSCov2eJ52Xy. arXiv admin note: text overlap with arXiv:1912.01001 

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Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks


Oct 20, 2020
Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu


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LID 2020: The Learning from Imperfect Data Challenge Results


Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 

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