A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications

A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications

Purpose: Our study proposes a bootstrapping-based method to automatically extract data-usage statements from academic texts. Design/methodology/approach: The method for data-usage statements extraction starts with seed entities and iteratively learns patterns and data-usage statements from unlabele...

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Bibliographic Details
Main Authors: Qiuzi Zhang, Qikai Cheng, Yong Huang, Wei Lu
Format: Article
Language:English
Published: Chinese Academy of Sciences 2016-03-01
Series:Journal of Data and Information Science
Subjects:
Data-usage statements extraction
Information extraction
Bootstrapping
Unsupervised learning
Academic text-mining
Online Access:http://www.jdis.org/CN/html/Article8610.htm

Internet

http://www.jdis.org/CN/html/Article8610.htm

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