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Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories


Oct 27, 2021
Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu

* 11 pages. Accepted to the main conference of EMNLP 2021 (long paper) 

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Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge


Sep 12, 2020
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie


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Comprehensive Image Captioning via Scene Graph Decomposition


Jul 23, 2020
Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li

* Accepted to ECCV 2020 

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On Effective Parallelization of Monte Carlo Tree Search


Jun 15, 2020
Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen


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Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension


May 19, 2020
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu


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Logical Natural Language Generation from Open-Domain Tables


Apr 28, 2020
Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang

* Accepted to ACL 2020 as Long Paper 

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TabFact: A Large-scale Dataset for Table-based Fact Verification


Oct 08, 2019
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang

* Table-based Fact Verification Dataset on Structured Information 

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Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach


Sep 20, 2019
Shiyang Li, Jianshu Chen, Dian Yu


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Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization


Jul 22, 2019
Adithya M. Devraj, Jianshu Chen

* 42 pages 

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Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention


Jun 09, 2019
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang

* Accepted to ACL 2019, 9 pages long paper 

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From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation


Jun 06, 2019
Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen


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Evidence Sentence Extraction for Machine Reading Comprehension


Feb 23, 2019
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David McAllester


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DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension


Feb 01, 2019
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie

* To appear in TACL 

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Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching


Dec 23, 2018
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu

* Published as a conference paper at ICLR 2019 

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Incorporating Structured Commonsense Knowledge in Story Completion


Nov 01, 2018
Jiaao Chen, Jianshu Chen, Zhou Yu


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M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search


Nov 01, 2018
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao

* Yelong Shen, Jianshu Chen and Po-Sen Huang contributed equally to the paper. Published at NIPS 2018 

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P-MCGS: Parallel Monte Carlo Acyclic Graph Search


Oct 28, 2018
Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu


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XL-NBT: A Cross-lingual Neural Belief Tracking Framework


Aug 25, 2018
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang

* 13 pages, 5 figures, 3 tables, accepted to EMNLP 2018 conference 

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SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation


Jun 05, 2018
Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song

* 28 pages, 13 figures. To appear at the 35th International Conference on Machine Learning (ICML 2018) 

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A Learning-to-Infer Method for Real-Time Power Grid Topology Identification


Oct 21, 2017
Yue Zhao, Jianshu Chen, H. Vincent Poor


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Stochastic Variance Reduction Methods for Policy Evaluation


Jun 09, 2017
Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou

* Accepted by ICML 2017 

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Unsupervised Sequence Classification using Sequential Output Statistics


May 26, 2017
Yu Liu, Jianshu Chen, Li Deng

* All authors contributed equally to the paper. 17 pages, 7 figures and 2 tables 

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Character-level Deep Conflation for Business Data Analytics


Feb 08, 2017
Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng

* Accepted for publication, at ICASSP 2017 

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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads


Sep 17, 2016
Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng

* To be published in EMNLP 2016, 11 pages 

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Unsupervised Learning of Predictors from Unpaired Input-Output Samples


Jun 15, 2016
Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng


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Deep Reinforcement Learning with a Natural Language Action Space


Jun 08, 2016
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf

* accepted by ACL 2016 

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