Reinforcement Learning Based Graph-to-Sequence Model for Natural
Question Generation

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

14 August 2019

Mohammed J. Zaki

Papers citing "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

17 / 17 papers shown

Title
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks Yu Qiao Lina Gong Yu Zhao Y. Wang Mingqiang Wei 50 0 0 25 Oct 2024
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
SkillQG: Learning to Generate Question for Reading Comprehension Assessment Xiaoqiang Wang Bang Liu Siliang Tang Lingfei Wu 13 3 0 08 May 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 19 3 0 20 Jan 2023
Enhancing Security Patch Identification by Capturing Structures in Commits Bozhi Wu Shangqing Liu Ruitao Feng Xiaofei Xie J. Siow Shang-Wei Lin 17 30 0 19 Jul 2022
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance Xiaoqiang Wang Bang Liu Siliang Tang Lingfei Wu 14 9 0 29 Apr 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation Kushal Arora Layla El Asri Hareesh Bahuleyan Jackie C.K. Cheung 18 79 0 03 Apr 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 20 45 0 14 Jan 2022
Improving Unsupervised Question Answering via Summarization-Informed Question Generation Chenyang Lyu Lifeng Shang Yvette Graham Jennifer Foster Xin Jiang Qun Liu 16 44 0 16 Sep 2021
Semantic-Based Self-Critical Training For Question Generation Loïc Kwate Dassi Kwate Dassi 12 0 0 26 Aug 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Exploring Question-Specific Rewards for Generating Deep Questions Yuxi Xie Liangming Pan Dongzhe Wang Min-Yen Kan Yansong Feng 28 27 0 02 Nov 2020
Multi-hop Question Generation with Graph Convolutional Network Dan Su Yan Xu Wenliang Dai Ziwei Ji Tiezheng Yu Pascale Fung 18 39 0 19 Oct 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 22 46 0 09 Jun 2020
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 254 1,895 0 10 Jan 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,915 0 17 Aug 2015