other,22-1-N03-1033,bq |
use of both preceding and following
<term>
|
tag contexts
|
</term>
via a
<term>
dependency network representation
|
#2931
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and followingtag 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. |