Populating Web-Scale Knowledge Graphs Using Distantly Supervised Relation Extraction and Validation
In this paper, we propose a fully automated system to extend knowledge graphs using external information from web-scale corpora. The designed system leverages a deep-learning-based technology for relation extraction that can be trained by a distantly supervised approach. In addition, the system uses...
Main Authors: | Sarthak Dash, Michael R. Glass, Alfio Gliozzo, Mustafa Canim, Gaetano Rossiello |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/12/8/316 |
Similar Items
-
KGGCN: Knowledge-Guided Graph Convolutional Networks for Distantly Supervised Relation Extraction
by: Ningyi Mao, et al.
Published: (2021-08-01) -
A Review of Knowledge Graph Completion
by: Mohamad Zamini, et al.
Published: (2022-08-01) -
Keyphrase Extraction Using Knowledge Graphs
by: Wei Shi, et al.
Published: (2017-11-01) -
Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network
by: Xiaoye Ouyang, et al.
Published: (2020-11-01) -
Survey of Entity Relationship Extraction Methods in Knowledge Graphs
by: ZHANG Xishuo, LIU Lin, WANG Hailong, SU Guibin, LIU Jing
Published: (2024-03-01)