Description:

CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. Among the various implementations of CRFs, this software provides following features.

• Speed-oriented implementation written in pure C.
• Very fast parameter estimation using Stochastic Gradient Descent (SGD).
• Fast parameter estimation using Limited-memory BFGS (L-BFGS).
• L1 regularization (Laplacian prior) using Orthant-Wise Limited-memory Quasi-Newton (OWL-QN) method.
• L2 regularization (Gaussian prior).
• Performance evaluation on training.
• Simple data I/O format.
• An efficient file format for storing/accessing CRF models.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Macos, Unix, Solaris

Data Formats: Plain Ascii

Tags: Structure Learning, Crf, Stochastic Gradient Descent, Conditional Random Fields, Sequential Labeling, Sgd

Archive: download here

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