A Semi-Supervised Information Extraction Framework for Large Redundant Corpora

A Semi-Supervised Information Extraction Framework for Large Redundant Corpora

The vast majority of text freely available on the Internet is not available in a form that computers can understand. There have been numerous approaches to automatically extract information from human- readable sources. The most successful attempts rely on vast training sets of data. Others have s...

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Bibliographic Details
Main Author: Normand, Eric
Format: Others
Published: ScholarWorks@UNO 2008
Subjects:
Information Extraction
Natural Language Processing
Support Vector Machine
Machine Learn- ing
Information Retrieval
unstructured text
Online Access:http://scholarworks.uno.edu/td/877
http://scholarworks.uno.edu/cgi/viewcontent.cgi?article=1857&context=td

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http://scholarworks.uno.edu/td/877
http://scholarworks.uno.edu/cgi/viewcontent.cgi?article=1857&context=td

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