Project details for crfpp

Logo crfpp 0.53

by sonne - May 8, 2009, 08:46:44 CET [ Project Homepage BibTeX Download ]

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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.

Features

  • 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
Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Posix
Data Formats: Ascii
Tags: Crf, Segmentation, Conditional Random Fields, Lbfgs, Named Entity Recognition, Nlp
Archive: download here

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