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A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Oct 23, 2020
Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen

* Source code is available at: https://github.com/dinghanshen/cutoff 

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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding

Oct 16, 2020
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen


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Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model

Oct 14, 2020
Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao


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Generation-Augmented Retrieval for Open-domain Question Answering

Sep 17, 2020
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu 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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MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

May 11, 2020
Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal

* ACL 2020 (12 pages) 

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A Hybrid Retrieval-Generation Neural Conversation Model

Apr 19, 2019
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

* 11 pages 

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Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Apr 03, 2019
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang

* To appear in NAACL 2019, 10 pages 

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StoryGAN: A Sequential Conditional GAN for Story Visualization

Dec 06, 2018
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao


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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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Multi-Task Learning for Machine Reading Comprehension

Sep 18, 2018
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

* 9 pages, 2 figures, 7 tables 

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Language-Based Image Editing with Recurrent Attentive Models

Jun 10, 2018
Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu

* Accepted to CVPR 2018 as a Spotlight 

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Stochastic Answer Networks for Machine Reading Comprehension

May 15, 2018
Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao

* 11 pages, 5 figures, Accepted to ACL 2018 

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Link Prediction using Embedded Knowledge Graphs

Apr 22, 2018
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao


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Dynamic Fusion Networks for Machine Reading Comprehension

Feb 26, 2018
Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu

* 13 pages, 5 figures, 5 tables 

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FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Feb 04, 2018
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen

* Published in Sixth International Conference on Learning Representations (ICLR), 2018 

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An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks

Nov 09, 2017
Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao


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ReasoNet: Learning to Stop Reading in Machine Comprehension

Jun 20, 2017
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen

* in KDD 2017 

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Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

Jan 16, 2016
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab Ward

* To appear in IEEE/ACM Transactions on Audio, Speech, and Language Processing 

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End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture

Nov 01, 2015
Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng

* Proc. NIPS 2015 

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A Deep Embedding Model for Co-occurrence Learning

Jun 04, 2015
Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng


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