following
<term>
tag contexts
</term>
via a
<term>
dependency network representation
</term>
, ( ii ) broad use of
<term>
lexical
#2936We 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.