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Bio. Currently, I'm working at Preferred Networks, Inc. I received my M.E. from Nara Institute of Science and Technology (NAIST) in 2002, and had been engaged in research on text mining at IBM Research from 2002 to 2016. I received my D.E. from NAIST in 2009. My research interests include natural language processing, machine learning, and data mining. I am a member of Information Processing Societ
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 th
Template type Note also that there are two types of templates. The types are specified with the first character of templates. Unigram template: first character, 'U' This is a template to describe unigram features. When you give a template "U01:%x[0,1]", CRF++ automatically generates a set of feature functions (func1 ... funcN) like: func1 = if (output = B-NP and feature="U01:DT") return 1 else ret
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