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SYSTEM FOR EXTRACTING RALATION BETWEEN TECHNICAL TERMS IN LARGE COLLECTION USING A VERB-BASED PATTERN

机译:使用基于动词的模式在大型馆藏技术术语之间提取等级的系统

摘要

PURPOSE: the relationship between system extraction, tama is based on using verb pedestal from amount of literature data know-how noun to be provided to using Institute of Technology TAMA (association), in relationship between these understanding mining apparatus, term includes text and technical term, to extract verb base pattern centric relation out from science and technology field on abstract and bibliography database. ;CONSTITUTION: if sentence, it is extracted from database because IIFP (integrated information & functions are mining for STM (supplier) the scientific Institute of Technology) (190) is utilized to be applied, TRD (relationship by objective (RBO) determiner) (200) methods carry out detailed analysis, pass through unit of condemning. If candidate relationship set, generate and be based on generalities vocabulary clue, TRD determines the relationship between core, the relationship. If final relationship by objective (RBO) extracts preparation to determine that TRD and entire preparation are used for actual relationship, what a kind of SSREE (Semi-Supervised relationships extractor) (220) and a SREE (the relationship extractor of supervision) (230) executed. ;The 2010 of copyright KIPO submissions
机译:用途:系统提取之间的关系,多摩是基于使用动词基座从大量文学数据专有名词提供给使用技术学院的TAMA(关联),在这些理解挖掘设备之间的关系,术语包括文本和技术从抽象和书目数据库中提取科学和技术领域的动词基础模式中心关系。 ;构成:如果句子是从数据库中提取出来的,因为IIFP(集成信息和功能是为STM(供应商)的科学研究所挖掘的)(190)被利用,TRD(目标关系(RBO)确定器)被应用(200)方法进行详细分析,通过谴责。如果建立候选关系,并根据通用词汇线索生成,TRD确定核心之间的关系,该关系。如果最终目标关系(RBO)提取准备以确定TRD和整个准备用于实际关系,那么什么样的SSREE(半监督关系提取器)(220)和SREE(监督关系提取器)(230) )执行。 ; 2010年版权KIPO提交文件

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