Toutanova, Kristina and Klein, Dan and Manning, Christopher and Singer, Yoram (2003) Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In: Human Language Technology Conference (HLT-NAACL 2003), May 27 - June 1, 2003, Edmonton, Canada.
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. Using these ideas together, the resulting tagger gives a 97.24% accuracy on the Penn Treebank WSJ, an error reduction of 4.4% on the best previous single automatically learned tagging result.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||part-of-speech tagging, dependency networks, sequence models|
|Related URLs:||Project Homepage||http://www-nlp.stanford.edu/|
|Deposited By:||Import Account|
|Deposited On:||08 Jul 2003 17:00|
|Last Modified:||24 Dec 2008 11:16|
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