Document (#38062)

Author
Toutanova, K.
Manning, C.D.
Title
Enriching the knowledge sources used in a maximum entropy Part-of-Speech Tagger
Source
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000)
Imprint
xx : xx
Year
2000
Pages
S.63-70
Abstract
This paper presents results for a maximumentropy-based part of speech tagger, which achieves superior performance principally by enriching the information sources used for tagging. In particular, we get improved results by incorporating these features: (i) more extensive treatment of capitalization for unknown words; (ii) features for the disambiguation of the tense forms of verbs; (iii) features for disambiguating particles from prepositions and adverbs. The best resulting accuracy for the tagger on the Penn Treebank is 96.86% overall, and 86.91% on previously unseen words.
Content
Vgl.: http://nlp.stanford.edu/software/tagger.shtml.
Theme
Computerlinguistik
Object
Stanford POS Tagger

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