CRF++Free and open source implementation of Conditional Random Fields (CRFs) | |
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CRF++ Ranking & Summary
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- License:
- LGPL
- Price:
- FREE
- Publisher Name:
- Taku Kudo
- Publisher web site:
- Operating Systems:
- Mac OS X
- File Size:
- 786 KB
CRF++ Tags
CRF++ Description
Free and open source implementation of Conditional Random Fields (CRFs) CRF++ is a simple and customizable 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. Here are some key features of "CRF++": · Can redefine feature sets · Written in C++ with STL · Fast training based on LBFGS, a quasi-newton algorithm for large scale numerical optimization problem · Less memory usage both in training and testing · encoding/decoding in practical time · Can perform n-best outputs · Can perform single-best MIRA training · Can output marginal probabilities for all candidates · Available as an open source software What's New in This Release: · fixed build failure on libtool
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