Iterative Visual Relationship Detection via Commonsense Knowledge Graph

2020 ◽  
pp. 210-225
Author(s):  
Hai Wan ◽  
Jialing Ou ◽  
Baoyi Wang ◽  
Jianfeng Du ◽  
Jeff Z. Pan ◽  
...  
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge

scholarly journals Inductive Learning on Commonsense Knowledge Graph Completion

2021 ◽  
Author(s):  
Bin Wang ◽  
Guangtao Wang ◽  
Jing Huang ◽  
Jiaxuan You ◽  
Jure Leskovec ◽  
...  
Keyword(s):  
Inductive Learning ◽  
Knowledge Graph ◽  
Commonsense Knowledge

scholarly journals Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph

2021 ◽  
Author(s):  
Rui Liu ◽  
Zheng Lin ◽  
Yutong Tan ◽  
Weiping Wang
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge

Diversified Paraphrase Generation with Commonsense Knowledge Graph

2021 ◽  
pp. 353-364
Author(s):  
Xinyao Shen ◽  
Jiangjie Chen ◽  
Yanghua Xiao
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge ◽  
Paraphrase Generation

Iterative Visual Relationship Detection Via Commonsense Knowledge Graph

2020 ◽  
pp. 100175
Author(s):  
Hai Wan ◽  
Jinrui Liang ◽  
Jianfeng Du ◽  
Yanan Liu ◽  
Jialing Ou ◽  
...  
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge

scholarly journals Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks

2020 ◽  
Author(s):  
Ting-Yun Chang ◽  
Yang Liu ◽  
Karthik Gopalakrishnan ◽  
Behnam Hedayatnia ◽  
Pei Zhou ◽  
...  
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge

scholarly journals Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations

2021 ◽  
Author(s):  
Tianqiao Liu ◽  
Qiang Fang ◽  
Wenbiao Ding ◽  
Hang Li ◽  
Zhongqin Wu ◽  
...  
Keyword(s):  
Word Problem ◽  
Knowledge Graph ◽  
Commonsense Knowledge ◽  
Problem Generation ◽  
Mathematical Word Problem

scholarly journals Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph

2020 ◽  
Author(s):  
Haozhe Ji ◽  
Pei Ke ◽  
Shaohan Huang ◽  
Furu Wei ◽  
Xiaoyan Zhu ◽  
...  
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge ◽  
Language Generation

scholarly journals Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion

2021 ◽  
Vol 9 ◽  
pp. 1268-1284
Author(s):  
Jiayuan Huang ◽  
Yangkai Du ◽  
Shuting Tao ◽  
Kun Xu ◽  
Pengtao Xie
Keyword(s):  
General Framework ◽  
High Order ◽  
Knowledge Graph ◽  
Graph Node ◽  
Commonsense Knowledge ◽  
General Graph ◽  
The Public ◽  
Automatic Construction ◽  
Special Cases ◽  
Order Structures

Abstract To develop commonsense-grounded NLP applications, a comprehensive and accurate commonsense knowledge graph (CKG) is needed. It is time-consuming to manually construct CKGs and many research efforts have been devoted to the automatic construction of CKGs. Previous approaches focus on generating concepts that have direct and obvious relationships with existing concepts and lack an capability to generate unobvious concepts. In this work, we aim to bridge this gap. We propose a general graph-to-paths pretraining framework that leverages high-order structures in CKGs to capture high-order relationships between concepts. We instantiate this general framework to four special cases: long path, path-to-path, router, and graph-node-path. Experiments on two datasets demonstrate the effectiveness of our methods. The code will be released via the public GitHub repository.

scholarly journals CSKG: The CommonSense Knowledge Graph

2021 ◽  
pp. 680-696
Author(s):  
Filip Ilievski ◽  
Pedro Szekely ◽  
Bin Zhang
Keyword(s):  
Knowledge Graph ◽  
Commonsense Knowledge
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