摘要【目的】 研究从文本中识别植物生长发育实体（Plant Growth and Development Stage Named Entity,PDSE）的抽取。【应用背景】PDSE从本质上来说是一种命名实体。目前有关命名实体的识别已经成为自然语言处理领域最有价值的基础技术之一,被广泛应用于多种自然语言处理系统中。【方法】采用基于条件随机场和规则的混合策略,提出并实现针对PDSE特征的CRF特征模板、特征函数以及抽取规则的方法,并利用PubMed数据库收录的论文进行抽取效果测试。【结果】实验表明本文提出的混合策略能取得较高的准确率和召回率。【结论】本研究对生物学文本抽取具有一定的借鉴意义。
Abstract：[Objective] This paper researches in the extraction that identifies plant growth and development stage entity from text. [Context] PDSE is a kind of named entity essentially. Named entities recognition has become one of most valuable basic technologies in Natural Language Processing field,which is used widely in many Natural Language Processing systems. [Methods] It adopts multiple strategies based on conditional random field and rules,with putting forward and realizing a method of CRF template,characteristic function and extraction rules for the features of plant growth and development stage entity. Also,it tests the extraction effect by articles from the PubMed database. [Results] The experiment shows that the proposed hybrid strategies can obtain high accuracy and recall rate. [Conclusions] This research has a certain significant reference for biology text extraction.
汪润,何琳,王东波,黄水清,范远标. 面向文本挖掘的植物生长发育实体识别研究*[J]. 现代图书情报技术, 2014, 30(1): 24-27.
Wang Run,He Lin,Wang Dongbo,Huang Shuiqing,Fan Yuanbiao. Research on Plant Growth and Development Stage Named Entity Recognition for Text Mining. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2014.01.04.
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