Nschneid writeup of Sha 2003

From Cohen Courses
Revision as of 16:21, 7 September 2010 by WikiAdmin (talk | contribs) (1 revision: trying again...)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

This is Nschneid's review of Sha_2003_shallow_parsing_with_conditional_random_fields

CRFs for NP chunking with BIO tags. Compares several training methods.

I like this paper's overview of generative sequence models vs. local classification models, and argument that CRFs give the best of both worlds. Their formal description of CRFs is very clear. I also like that it compares several training methods, including runtime and convergence rate.