Carafe is an efficient implementation of Conditional Random Fields and related algorithms in OCaml targeted at text processing applications. Features include: Voted Perceptron and log-likelihood training, feature induction, an SGML/XML front-end, etc.
Be the first to post a text review of Carafe: ConditionAl RAndom Fields, Etc.. Rate and review a project by clicking thumbs up or thumbs down in the right column.
A handful of major new features have been implemented: * Fast, robust stochastic gradient descent using Periodic Stepsize Adjustment (PSA) * Disk-caching. Instantiated features for sequences can be cached on disk, allowing training over datasets that can't fit in main memory. * Resulting models from training contain all the options used for that training run. The call to the decoder need not be responsible for keeping track of which options were passed to the trainer (this information is stored in the 'model file').
Be the first person to add a text review.
Copyright © 2009 Geeknet, Inc. All rights reserved. Terms of Use
Thanks for your rating!
Would you also like to write a review?