CRF++

Free and open source implementation of Conditional Random Fields (CRFs)
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CRF++ Ranking & Summary

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  • Rating:
  • 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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