Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Data and Information Science
Volume 1 (2016): Issue 1 (February 2016)
Open Access
A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications
Qiuzi Zhang
Qiuzi Zhang
,
Qikai Cheng
Qikai Cheng
,
Yong Huang
Yong Huang
and
Wei Lu
Wei Lu
| Sep 01, 2017
Journal of Data and Information Science
Volume 1 (2016): Issue 1 (February 2016)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Article Category:
Research Paper
Published Online:
Sep 01, 2017
Page range:
69 - 85
Received:
Jan 21, 2016
Accepted:
Feb 26, 2016
DOI:
https://doi.org/10.20309/jdis.201606
Keywords
Data-usage statements extraction
,
Information extraction
,
Bootstrapping
,
Unsupervised learning
,
Academic text-mining
© 2016 Qiuzi Zhang, Qikai Cheng, Yong Huang, Wei Lu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Qiuzi Zhang
School of Information Management, Wuhan University
Wuhan, China
Qikai Cheng
School of Information Management, Wuhan University
Wuhan, China
Yong Huang
School of Information Management, Wuhan University
Wuhan, China
Wei Lu
School of Information Management, Wuhan University
Wuhan, China