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other,22-1-N03-1033,ak
use of both preceding and following
<term>
tag contexts
</term>
via a
<term>
dependency network representation
#2932We 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.