自然语言地点描述中地理引用命名和未命名空间实体的推理模型

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL Spatial Cognition and Computation Pub Date : 2021-11-29 DOI:10.1080/13875868.2021.2002872
Madiha Yousaf, D. Wolter
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引用次数: 3

摘要

摘要:本文研究了自动解释自然语言地点描述的方法,即将输入文本中代表地理实体的所有名词与地理数据库中相应的实体联系起来。这个任务通常被称为地理参考。自动化方法有助于与地理信息系统(GIS)进行基于文本的人机交互,并使自愿地理信息(VGI)能够从自然语言描述中获得。本文旨在探讨推理的贡献。我们提出了一套空间和本体论推理步骤,以帮助解决模棱两可的解释,特别是关于未命名实体(公园,河流等)的解释。通过在一个地点描述语料库上对该方法进行评估,我们表明结合推理技术可以提高地点描述的解释性能。
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A reasoning model for geo-referencing named and unnamed spatial entities in natural language place descriptions
ABSTRACT We investigate means to automatically interpret natural language place descriptions, i.e., to relate all nouns in the input text that represent geographic entities to corresponding entities in a geographic database. This task is often referred to as geo-referencing. Automated methods can contribute to text-based human-machine interaction with geographic information systems (GIS) and enable volunteered geographic information (VGI) to be obtained from natural language descriptions. This paper is aimed to investigate the contribution of reasoning. We propose a set of spatial and ontological reasoning steps that help resolve ambiguous interpretationsin particular, regarding the interpretation of unnamed entities (a park, a river, etc.). By evaluating the method on a corpus of place descriptions, we show that incorporating reasoning techniques improves the performance of interpreting place descriptions.
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来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
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