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FlexCRFs

swMATH ID: 10649
Software Authors: Phan, X.-H.; Nguyen, L.-M.
Description: FlexCRFs is a conditional random field toolkit for segmenting and labeling sequence data written in C/C++ using STL library. It was implemented based on the theoretic model presented in (Lafferty et al. 2001) and (Sha and Pereira 2003). The toolkit uses L-BFGS (Liu and Nocedal 1989) - an advanced convex optimization procedure - to train CRF models. FlexCRFs was designed to deal with hundreds of thousand data sequences and millions of features. FlexCRFs supports both first-order and second-order Markov CRFs. We have tested FlexCRFs on Linux (Red Hat, Fedora, Ubuntu), Sun Solaris, and MS Windows with MS Visual C++.
Homepage: http://flexcrfs.sourceforge.net/
Related Software: CRF++; NCRF++; PyTorch; CRFsuite
Cited in: 1 Document

Cited in 1 Serial

1 Machine Learning

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