Chinese Word Segmentation and Named Entity Recognition Based on Conditional Random Fields Models

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Summary

A Chinese named entity recognition system NER@ISCAS is described, which integrates text, part-of-speech and a small-vocabularycharacter-lists feature for MSRA NER open track under the framework of Conditional Random Fields (CRFs) model.

Type
article
Published
2006-07-01
Cited by
19
References
11

Keywords

Conditional random field, CRFS, Named-entity recognition, Computer science, Artificial intelligence

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