摘要
词汇知识资源是自然语言理解领域的基础性资源,对国内外常用的10多个词汇知识资源进行梳理分类,并从语义理论基础、构建方式、规模、应用领域和使用情况等维度对知识资源进行比较分析。为满足词汇本体研究和信息处理,需要建设深入挖掘词义和词汇关系的词网型词汇知识库;借助计算机从大数据中抽取丰富的百科知识,构建开放型知识库也是未来的一个趋势。
Words knowledge resources are the basic resources in the field of natural language understanding.We classify more than a dozen domestic and foreign common words knowledge resources,compare and analyze knowledge resources based on semantic theory foundation,building,size,and application. We need to build word- network knowledge database which dig deeper meaning and words relationship to meet the needs of lexical ontology research and information processing. Using computer extracts rich encyclopedic knowledge from big data to construct opening knowledge database is also a trend in the future. We analyze the reasons and come up with strategies for reference use according to the disadvantage of existing domestic knowledge resources.
出处
《曲靖师范学院学报》
2016年第2期78-85,共8页
Journal of Qujing Normal University
基金
国家语委"十二五"科研规划项目"语言资源建设规划研究"(YB125-124)
关键词
知识库
开放型
封闭型
词汇
语义
语法
发展
knowledge database
open
closed
lexical semantics
grammar
development
