Abstract | ||
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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 |
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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 Liang | 1 | 37 | 9.59 |
Suo Feng | 2 | 0 | 0.68 |
Chenhao Xie | 3 | 41 | 8.92 |
Yanghua Xiao | 4 | 482 | 54.90 |
Jindong Chen | 5 | 0 | 0.34 |
Seung-Won Hwang | 6 | 0 | 0.34 |