tech,40-1-N03-1033,bq |
lexical features
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, including
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jointly conditioning on multiple consecutive words
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, ( iii ) effective use of
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#2949
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. |