A Chinese person name recognition system based on agent-based HMM position tagging model

被引：0

作者：

Guo, Yimo ^{[1
]}

Gao, Huanping ^{[1
]}

机构：

[1] Tianjin Normal Univ, Dept Comp Sci, Tianjin, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

name entity recognition (NER); person name recognition; position (POS) tagging; hidden Markov model (HMM);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An Agent-based HMM Position Tagging (AHPT) model was proposed for Chinese person name recognition. The model unified unknown word identification and person name recognition as a single tagging task. Based on context pattern, special name table and position dependent information, the model could integrate both the internal information and surrounding contextual clues for name entity recognition (NER) under the HMM. The experiment shows that the recall rate and precise rate are respectively 95.11% and 94.02%. The result indicates the application of multi-agent framework can substantially improve the performance of HMM in person name recognition.

引用

页码：4069 / +

页数：2

共 14 条

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