Description: CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed for generic purpose and will be applied to a variety of NLP tasks, such as Named Entity Recognition, Information Extraction and Text Chunking.
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CRF++-0.58
..........\LGPL
..........\README
..........\libcrfpp.dll
..........\doc
..........\...\index.html
..........\...\default.css
..........\...\doxygen
..........\...\.......\tab_l.gif
..........\...\.......\namespacemembers.html
..........\...\.......\nav_f.png
..........\...\.......\crfpp_8h_source.html
..........\...\.......\namespaces.html
..........\...\.......\nav_h.png
..........\...\.......\namespaceCRFPP.html
..........\...\.......\globals.html
..........\...\.......\crfpp_8h-source.html
..........\...\.......\classCRFPP_1_1Tagger-members.html
..........\...\.......\tab_b.gif
..........\...\.......\functions.html
..........\...\.......\tab_r.gif
..........\...\.......\bc_s.png
..........\...\.......\namespacemembers_func.html
..........\...\.......\index.html
..........\...\.......\closed.png
..........\...\.......\classCRFPP_1_1Model.html
..........\...\.......\tab_h.png
..........\...\.......\functions_func.html
..........\...\.......\tab_a.png
..........\...\.......\globals_defs.html
..........\...\.......\classes.html
..........\...\.......\tab_b.png
..........\...\.......\globals_type.html
..........\...\.......\doxygen.css
..........\...\.......\open.png
..........\...\.......\tab_s.png
..........\...\.......\globals_func.html
..........\...\.......\crfpp_8h.html
..........\...\.......\classCRFPP_1_1Model-members.html
..........\...\.......\classCRFPP_1_1Tagger.html
..........\...\.......\files.html
..........\...\.......\doxygen.png
..........\...\.......\tabs.css
..........\...\.......\annotated.html
..........\COPYING
..........\AUTHORS
..........\BSD
..........\crf_test.exe
..........\sdk
..........\...\libcrfpp.lib
..........\...\crfpp.h
..........\...\example.cpp
..........\crf_learn.exe
..........\example
..........\.......\JapaneseNE
..........\.......\..........\train.data
..........\.......\..........\test.data
..........\.......\..........\exec.sh
..........\.......\..........\template
..........\.......\chunking
..........\.......\........\train.data
..........\.......\........\test.data
..........\.......\........\exec.sh
..........\.......\........\template
..........\.......\seg
..........\.......\...\train.data
..........\.......\...\test.data
..........\.......\...\exec.sh
..........\.......\...\template
..........\.......\basenp
..........\.......\......\train.data
..........\.......\......\test.data
..........\.......\......\exec.sh
..........\.......\......\template
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