文章基本信息

标题：Detecting the Geospatialness of Prepositions from Natural Language Text (Short Paper)
本地全文：下载
作者：Mansi Radke ; Prarthana Das ; Kristin Stock 等
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2019
卷号：142
页码：1-8
DOI：10.4230/LIPIcs.COSIT.2019.11
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：There is increasing interest in detecting the presence of geospatial locative expressions that include spatial relation terms such as near or within . Being able to do so provides a foundation for interpreting relative descriptions of location and for building corpora that facilitate the development of methods for spatial relation extraction and interpretation. Here we evaluate the use of a spatial role labelling procedure to distinguish geospatial uses of prepositions from other spatial and non-spatial uses and experiment with the use of additional machine learning features to improve the quality of detection of geospatial prepositions. An annotated corpus of nearly 2000 instances of preposition usage was created for training and testing the classifiers.
关键词：spatial language; natural language processing; geospatial language