1) domain-specific term extraction
领域术语抽取
1.
Statistical automatic domain-specific term extraction methods are researched widely in recent years.
基于统计的领域术语抽取方法近年来得到了广泛的研究。
2.
In multi-word candidate extraction and domain-specific term extraction periods,it improved the presented methods respectively to decrease time complexity of string decomposing and increase the precision and recall.
在多字词抽取和最终领域术语抽取阶段分别对现有方法进行了改进,降低了字符串分解的时间复杂度并提高了领域术语抽取的准确率和召回率。
2) domain term
领域术语
1.
This paper proposes an automatic acquisition domain terms model based on CBC clustering approach, many disadvantages are avoided in this model.
提出并建立了一种基于CBC聚类方法的领域术语自动获取模型,该模型避免了单纯以领域相减或统计方法获取领域术语的局限性。
3) term extraction
术语抽取
1.
Chinese Term Extraction System Based on Mutual Information;
基于互信息的中文术语抽取系统
2.
Phrase filtering technology oriented to term extraction
一种面向术语抽取的短语过滤技术
3.
This paper presents an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology.
提出了一种自动构造特定领域本体的方法,该方法应用术语抽取和多重聚类技术。
4) Terminology extraction
术语抽取
1.
Automatic Terminology Extraction is a very important subject in the ChineseInformation Processing, moreover the Terminology Extraction has great meanings inresearch of the natural language processing, such as Information Retrieval,Information Extraction, Data Mining, Machine Translation and Domain OntologyConstruction.
术语自动抽取是中文信息处理中的一个重要课题，术语抽取对信息检索、信息抽取、数据挖掘、机器翻译、建立领域概念体系等自然语言处理研究具有重要的意义。
5) DomainKnowledgeExtraction
领域知识抽取
6) technical term extraction
科技术语抽取
补充资料：领域
①犹领土。国家主权管辖下的区域：国家领域神圣不可侵犯。②意识形态或社会活动的范围：思想领域｜学术领域｜生活领域｜科学领域。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条