Title
Bootstrapping Information Extraction via Conceptualization
Abstract
Bootstrapping enables us to use existing knowledge to find patterns and extract new knowledge from free texts, from which more patterns can be found. Due to its minimally supervised, domain-independent, and language-independent nature, it has been widely adopted in real-world applications. However, as iterations go on, semantic drift may happen. The extraction may shift from the target class to ot...
Year
DOI
Venue
2021
10.1109/ICDE51399.2021.00012
2021 IEEE 37th International Conference on Data Engineering (ICDE)
Keywords
DocType
ISSN
information extraction,semantic drift,conceptual taxonomy,bootstrapping
Conference
1084-4627
ISBN
Citations 
PageRank 
978-1-7281-9184-3
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jiaqing Liang1379.59
Suo Feng200.68
Chenhao Xie3418.92
Yanghua Xiao448254.90
Jindong Chen500.34
Seung-Won Hwang600.34