Abstract
In this short paper, an off-the-shelf maximum entropy-based POS-tagger is used as a partial parser to improve the accuracy of an extremely fast linear time dependency parser that provides state-of-the-art results in multilingual unlabeled POS sequence parsing.
Cite
CITATION STYLE
APA
Søgaard, A., & Kuhn, J. (2009). Using a maximum entropy-based tagger to improve a very fast vine parser. In Proceedings of the 11th International Conference on Parsing Technologies, IWPT 2009 (pp. 206–209). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1697236.1697276
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