Spatial information extraction is essential to understand geographical information in text.
This task is largely divided to two subtasks: spatial element extraction and spatial relation …

Extracting spatial relations from texts is a fundamental task for natural language
understanding and previous studies only regard it as a classification task, ignoring those …

Spatial language understanding (SLU) is an important task in the field of information
extraction, and it involves complex spatial analyses and reasoning processes. Unlike …

A spatial information extraction system retrieves spatial entities and their relationships for
geological searches and reasoning. Spatial information systems have been developed …

Spatial relations in text refer to how a geographical entity is located in space in relation to a
reference entity. Extracting spatial relations from text is a fundamental task in natural …

A key challenge introduced by the recent SpaceEval shared task on spatial relation
extraction is the identification of MOVELINKs, a type of spatial relation in which up to eight …

As a basic task, named entity recognition (NER) plays a very important role in the field of
natural language processing. In recent years, the neural network method has achieved …

Abstract We introduce Semantic Scene Builder (SeSB), a VR-based text-to-3D scene
framework using SemAF (Semantic Annotation Framework) as a scheme for annotating …

Abstract “第三届中文空间语义理解评测任务(SpaCE2023) 旨在测试机器的空间语义理解能力,
包括三个子任务:(1) 空间信息异常识别任务;(2) 空间语义角色标注任务;(3) …

We present SpaRel–a system for Spatial Relation Extraction (SRE), which is focused on
intra-sentence Spatial Relation Extraction. It was evaluated on three datasets: English …