A hybrid approach to Chinese word segmentation around CRFs

SIGHAN@IJCNLP 2005 - 4th SIGHAN Workshop on Chinese Language Processing, Proceedings of the Workshop

Volumn , Issue , 2005, Pages 196-199

  Zhou, Jun Sheng ^a,b   Dai, Xin Yu ^a   Ni, Rui Yu ^a   Chen, Jia Jun ^a  

^a NANJING UNIVERSITY   (China)

^b NANJING NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; IMAGE SEGMENTATION;

CHINESE WORD SEGMENTATION; CHINESE WORD SEGMENTATION SYSTEMS; EVALUATION RESULTS; HYBRID APPROACH; INITIAL SEGMENTATION; MICROSOFT RESEARCHES; NAMED ENTITY RECOGNITION; RECOGNITION ERROR; SEGMENTATION RESULTS; TWO-COMPONENT;

PETROLEUM RESERVOIR EVALUATION;

EID: 38049029005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Eric Brill, 1995. Transformation Based Error Driven Learning and Natural Language Processing: A Case Study in Part of Speech Tagging, Computational Linguistics, V21. No. 4
2. J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. ICML 01.
3. Aitao Chen. 2003. Chinese Word Segmentation Using Minimal Linguistic Knowledge. In Proceedings of the Second SIGHAN Workshop on Chinese Language Processing.
4. Ng, Hwee Tou and Jin Kiat Low. 2004. Chinese Part-of-Speech Taging: One-at-a-Time or All at Once? Word-based or Character based? In Proceedings of the Conference on Empirical Methods in Natural Language Processing, Spain.
5. Peng, Fuchun, Fangfang Feng, and Andrew McCallum. 2004. Chinese Segmentation and New Word Detection using Conditional Random Fields . In Proceedings of the Twentith International Conference on Computaional Linguistics, pages 562–568.