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Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network-英文文献
Proceedings of HLT-NAACL 2003
Main Papers , pp. 173-180
Edmonton, May-June 2003
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Kristina Toutanova Dan Klein
Computer Science Dept. Computer Science Dept.
Stanford University Stanford University
Stanford, CA 94305-9040 Stanford, CA 94305-9040
kristina@cs.stanford.edu klein@cs.stanford.edu
Christopher D. Manning Yoram Singer
Computer Science Dept. School of Computer Science
Stanford University The Hebrew University
Stanford, CA 94305-9040 Jerusalem 91904, Israel
manning@stanford.edu singer@cs.huji.ac.il
Abstract first-order HMM, the current tag t0 is predicted based on
the previous tag t−1 (and the current word).1 The back-
We present a new part-of-speech tagger that ward interaction between t0 and the next tag t+1 shows
demonstrates the following ideas: (i) explicit up implicitly later, when
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