| model,55-1-N03-1033,ak | effective use of <term> priors </term> in <term> | conditional loglinear models | </term> , and ( iv ) fine-grained modeling | #2965 We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on multiple consecutive words, (iii) effective use of priors in conditional loglinear models , and (iv) fine-grained modeling of unknown word features. |
