北京测绘2025，Vol.39Issue(2)：127-134,8.DOI:10.19580/j.cnki.1007-3000.2025.02.001
文本中空间位置识别技术的研究进展
Research progress on spatial location recognition technologies in text
摘要
Abstract
The advent of the big data era has brought new challenges to the geographic information industry.Against the backdrop of explosive growth in text data,extracting spatial locations from the data is of great significance for event analysis,social perception,and disaster response.The extraction of spatial locations from text involves two main steps:identification and location.Starting from these steps,this paper summarized the development stages and pros and cons of geographic name entity recognition technology.It introduced three key technical methods involved in the process of geographic name location:fusion technology of geographic name databases,geographic name matching technology,and disambiguation technology.Finally,it discussed the current problems and challenges in extracting spatial locations.关键词
地名实体识别/深度学习/自然语言处理/定位/相似度匹配Key words
geographic name entity recognition/deep learning/natural language processing/location/similarity matching分类
测绘与仪器引用本文复制引用
陈紫怡,李大军,谭永滨..文本中空间位置识别技术的研究进展[J].北京测绘,2025,39(2):127-134,8.基金项目
国家自然科学基金(42261078):江西科技厅项目(20223BBE51030). （42261078）
