| model,26-1-N03-1033,ak | following <term> tag contexts </term> via a <term> | dependency network representation | </term> , ( ii ) broad use of <term> lexical | #2936 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. |
