DocumentCode :
495532
Title :
XAR: An Integrated Framework for Information Extraction
Author :
Ashish, Naveen ; Mehrotra, Sharad ; Pirzadeh, Pouria
Author_Institution :
Calit2 & Inf. & Comput. Sci., UC Irvine, Irvine, CA, USA
Volume :
4
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
462
Lastpage :
466
Abstract :
We present an information extraction system for automated information extraction from free text. The system, XAR, available open-source to the community, abstracts an extraction application developer from low level text processing details, permitting developing applications with high-level extraction rules. The system also incorporates semantic information in the form of integrity constraints to improve the quality of the extraction. We describe the XAR system and present a summary of experimental results demonstrating the effectiveness of our approach.
Keywords :
information retrieval; text analysis; XAR system; free text; high-level extraction rules; information extraction system; semantic information; Abstracts; Application software; Computer science; Data mining; Information analysis; Open source software; Text processing; Web pages; Web search; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.857
Filename :
5171039
Link To Document :
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