基于空间语义角色的自然语言空间概念提取  

Spatial Concept Extraction Based on Spatial Semantic Role in Natural Language

作　　者：乐小虬[1] 杨崇俊[1] 于文洋[1] 

机构地区：[1]中国科学院遥感应用研究所遥感科学国家重点实验室,北京市9718信箱100101

出　　处：《武汉大学学报（信息科学版）》2005年第12期1100-1103,共4页Geomatics and Information Science of Wuhan University

基　　金：国家973计划资助项目(G2000077906)

摘　　要：根据空间信息的特点,从定义的空间语义角色入手,通过语义角色标注、短语识别以及概念模式匹配等手段,具体分析了自然语言中的空间实体、实体间空间关系以及空间过程的表达与提取方法。This paper presents an approach for extracting complex spatial concepts from unstructured text. By defining several spatial semantic roles based on the characteristics of geospatial information in natural language, the authors extract spatial entities, spatial relationships among entities and spatial procedures by means of spatial semantic annotation, semantic phrases recognition and pattern match. It tries to solve the problem of unable to get deep spatial semantics in common IE. The primary experiment shows that it has a good precision and a similar recall comparing to common IE systems.

关 键 词：空间语义角色 GIS 信息提取(IE) 自然语言处理(NLP) 

分 类 号：P208[天文地球—地图制图学与地理信息工程]