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首页> 外文会议>International Conference on Language Resources and Evaluation >From Spatial Relations to Spatial Configurations
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From Spatial Relations to Spatial Configurations

机译：从空间关系到空间配置

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Spatial Reasoning from language is essential for natural language understanding. Supporting it requires a representation scheme that can capture spatial phenomena encountered in language as well as in images and videos. Existing spatial representations are not sufficient for describing spatial configurations used in complex tasks. This paper extends the capabilities of existing spatial representation languages and increases coverage of the semantic aspects that are needed to ground spatial meaning of natural language text in the world. Our spatial relation language is able to represent a large, comprehensive set of spatial concepts crucial for reasoning and is designed to support composition of static and dynamic spatial configurations. We integrate this language with the Abstract Meaning Representation (AMR) annotation schema and present a corpus annotated by this extended AMR. To exhibit the applicability of our representation scheme, we annotate text taken from diverse datasets and show how we extend the capabilities of existing spatial representation languages with fine-grained decomposition of semantics and blend it seamlessly with AMRs of sentences and discourse representations as a whole.
机译：语言的空间推理对于自然语言理解至关重要。支持它需要一个表示方案，可以捕获以语言和图像和视频遇到的空间现象。现有的空间表示不足以描述复杂任务中使用的空间配置。本文扩展了现有空间表示语言的能力，并增加了世界上自然语言文本的空间意义所需的语义方面的覆盖率。我们的空间关系语言能够代表一个大型全面的空间概念，这对于推理至关重要，旨在支持静态和动态空间配置的组成。我们将这种语言与抽象意义表示（AMR）注释架构集成并呈现由此扩展AMR注释的语料库。为了展示我们的代表方案的适用性，我们向各种数据集中采取的文本，并展示我们如何通过对语义的细粒度分解来扩展现有空间表示语言的能力，并将其与整个句子的AMR无缝混合。

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