jCarafe contains a number of statistical models, the most notable being an implementation of conditional random fields for sequence modeling; it includes a variety of machine learning methods to learn the parameters of these models efficiently from human-annotated training data. The use of these machine learning algorithms allows for the rapid development of new natural language processing components such as entity extraction and de-identification systems, topic classifiers, syntactic dependency parsers and other text processing components of use in a wide variety of applications.
