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ProVe: A Pipeline for Automated Provenance Verification of Knowledge
  Graphs against Textual Sources

ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sources

26 October 2022
Gabriel Amaral
Odinaldo Rodrigues
Elena Simperl
ArXivPDFHTML

Papers citing "ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sources"

7 / 7 papers shown
Title
Evaluating Class Membership Relations in Knowledge Graphs using Large
  Language Models
Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
Bradley Paul Allen
Paul T. Groth
21
3
0
25 Apr 2024
Visualizing and Explaining Language Models
Visualizing and Explaining Language Models
Adrian M. P. Braşoveanu
Razvan Andonie
MILM
VLM
24
3
0
30 Apr 2022
Automated Fact-Checking: A Survey
Automated Fact-Checking: A Survey
Xia Zeng
Amani S. Abumansour
A. Zubiaga
HILM
164
94
0
23 Sep 2021
Assessing the quality of sources in Wikidata across languages: a hybrid
  approach
Assessing the quality of sources in Wikidata across languages: a hybrid approach
Gabriel Amaral
A. Piscopo
Lucie-Aimée Kaffee
Odinaldo Rodrigues
Elena Simperl
HILM
23
17
0
20 Sep 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
162
589
0
31 Dec 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
169
1,877
0
02 Feb 2020
Reasoning Over Semantic-Level Graph for Fact Checking
Reasoning Over Semantic-Level Graph for Fact Checking
Wanjun Zhong
Jingjing Xu
Duyu Tang
Zenan Xu
Nan Duan
M. Zhou
Jiahai Wang
Jian Yin
HILM
GNN
175
163
0
09 Sep 2019
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