Chinese Chunking Algorithm Based on Cascaded Conditional Random Fields

DOI

10.2991/jcis.2008.100How to use a DOI?

Keywords

Chinese chunking, part-of-speech tagging, cascaded conditional random fields

Abstract

This paper presents a new Chinese chunking algorithm based on cascaded conditional random fields. Conditional random fields solve the tagging problems well, while the cascaded models restrain the affection of part-of-speech errors. The experimental results show that this approach achieves impressive accuracy in terms of the F-score: 85.06%.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guanglu Sun
AU  - Yuanchao Liu
AU  - Peili Qiao
AU  - Fei Lang
PY  - 2008/12
DA  - 2008/12
TI  - Chinese Chunking Algorithm Based on Cascaded Conditional Random Fields
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 595
EP  - 599
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.100
DO  - 10.2991/jcis.2008.100
ID  - Sun2008/12
ER  -