Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14142
Title: A robust web personal name information extraction system
Authors: Chen, Y
Lee, SYM 
Huang, CR 
Keywords: Attribute extraction
Information extraction
Named entity disambiguation
Relation extraction
Issue Date: 2012
Publisher: Pergamon Press
Source: Expert systems with applications, 2012, v. 39, no. 3, p. 2690-2699 How to cite?
Journal: Expert systems with applications 
Abstract: Personal information extraction, which extracts the persons in question and their related information (such as biographical information and occupation) from web, is an important component to construct social network (a kind of semantic web). For this practical task, two important issues are to be discussed: personal named entity ambiguity and the extraction of personal information for a specific person. For personal named entity ambiguity, which is a common phenomenon in the fast growing web resource, we propose a robust system which extracts lightweight features with a totally unsupervised approach from broad resources. The experiments show that these lightweight features not only improve the performances, but also increase the robustness of a disambiguation system. To extract the information of the focus person, an integrated system is introduced, which is able to effectively re-use and combine current well-developed tools for web data, and at the same time, to identify the expression properties of web data. We show that our flexible extraction system achieves state-of-the-art performances, especially the high precision, which is very important for real applications.
URI: http://hdl.handle.net/10397/14142
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2011.08.125
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

12
Last Week
0
Last month
0
Citations as of Oct 9, 2017

WEB OF SCIENCETM
Citations

9
Last Week
0
Last month
0
Citations as of Oct 5, 2017

Page view(s)

57
Last Week
2
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.