计算机与现代化Issue(1)：123-126,4.DOI:10.3969/j.issn.1006-2475.2018.01.024
基于条件随机场的农业命名实体识别
Chinese Agricultural Named Entity Recognition Based on Conditional Random Fields
摘要
Abstract
To meet the requirement of diversification , the paper introduces named entities model based on conditional random fields, divides agricultural named entities into 4 classes, which are diseases and pests , crops, chemical fertilizer, pesticide and annotates .These entities are labeled with custom annotation set .It is segmented collected corpus with ICTCLAS segment system and added features to raise the recognition rate .Ultimately, the accuracy rate reaches over 93％and the recalling rate reaches o-ver 84％.This result confirms that recognizing multiple entities after classifying them is feasible .关键词
中文命名实体识别/条件随机场/农业Key words
Chinese named entity recognition/conditional random field/agriculture分类
信息技术与安全科学引用本文复制引用
张剑,吴青,羊昕旖,王彬聪,吴宣为,徐向英,吕强..基于条件随机场的农业命名实体识别[J].计算机与现代化,2018,(1):123-126,4.基金项目
国家自然科学基金青年基金资助项目(61502412) （61502412）
江苏省自然科学基金青年基金资助项目(BK20150459) （BK20150459）
扬州大学生科技创新基金资助项目(X20160418) （X20160418）
