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CRF is a Java implementation of Conditional Random Fields, an algorithm for learning from labeled sequences of examples. It also includes an implementation of Maximum Entropy learning.
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witgo/CRF
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You will need jdk1.4 or above and ant to compile. Make sure to set the classpath by running "settings.sh" after setting CRF_HOME to the directory where you have unpackaged this distribution. A sample dataset for the segmentation problem is available under samples Run it as "java iitb.Segment.Segment train -f samples/us50.conf" "java iitb.Segment.Segment test -f samples/us50.conf" "java iitb.Segment.Segment calc -f samples/us50.conf" (report performance statistics) or all together with "java iitb.Segment.Segment all -f samples/us50.conf" Files ----- build/ -- Dir containing all class files build.xml -- XML file to build the code using ANT doc/ -- Documentation for the code (It includes Java API, introduction and FAQs - all in the HTML form). lib/ -- All required libraries are kept here. LICENSE.txt -- Licencse agreeement. README -- This file. samples/ -- Sample configuration and data files. settings.sh -- Script to set up the package. src/ -- Source code. third-party-license.txt -- Third party license.
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CRF is a Java implementation of Conditional Random Fields, an algorithm for learning from labeled sequences of examples. It also includes an implementation of Maximum Entropy learning.
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