计算机应用研究2017，Vol.34Issue(2)：365-368,425,5.DOI:10.3969/j.issn.1001-3695.2017.02.010
基于位置敏感Embedding的中文命名实体识别
Chinese named entity recognition based on position-sensitive embedding
摘要
Abstract
In the task of Chinese named entity recognition based on conditional random fields,there is semantic bias on features learned by present representation learning.This paper presented a Chinese named entity recognition method based on position-sensitive embedding model.This method applied the position information to the embedding model and used multi-scale word clustering to extract different size features.And then it recognized Chinese named entity with conditional random fields.The experiment shows that,this method improves the F-score by 2.85,compared to traditional methods.关键词
命名实体识别/表示学习/Embedding/多尺度聚类/条件随机场Key words
named entity recognition/representation learning/Embedding/multi-scale clustering/conditional random fields分类
信息技术与安全科学引用本文复制引用
鲁亚楠,孙锐,姬东鸿..基于位置敏感Embedding的中文命名实体识别[J].计算机应用研究,2017,34(2):365-368,425,5.基金项目
国家自然科学基金重点项目(61133012) （61133012）
国家自然科学基金面上项目(61373108) （61373108）
