RI: Small: Interpreting Linguistic Spatiotemporal Relations in Static and Dynamic Contexts

RI：小：解释静态和动态上下文中的语言时空关系

• 批准号: 1017765
• 负责人: James Pustejovsky
• 金额: $ 44.64万
• 依托单位: Brandeis University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017765&HistoricalAwards=false
• 关键词: RI; Small; Interpreting; Linguistic; Spatiotemporal

This project focuses on the development of a framework for interpreting linguistic descriptions of places and locations as well as objects in motion found in natural language texts. The resulting static and dynamic descriptions are represented in a spatiotemporal markup language called STML, which will be incorporated into a proposed international standard for spatial annotation called ISO-Space. The STML output then enables for grounding within a metric representation such as Google Earth, through an automatic conversion to KML. A Dynamic Interval Temporal Logic (DITL) is also developed, which is consistent with the STML output and which provides the semantics for STML for subsequent reasoning about the text.In order to automatically capture locations, paths, and motion constructions in the text, spatial processing algorithms are created. These algorithms build on earlier work on temporal processing as well as new and continuing work on identifying places, analyzing the internal structure of events with the Event Structure Lexicon, and adding paths with the PathFinder algorithm. Manual STML annotation is performed on a corpus of travel descriptions in order to evaluate these algorithms.This work is directly relevant to current efforts to standardize semantic annotations while also creating interoperable resources. One major impact of this research is the engagement of several diverse communities and their resources into a new dialogue and sharing of ideas. These include the areas of computational semantics and linguistics, qualitative reasoning, and dynamic approaches to logic and reasoning.

该项目的重点是开发一个框架，用于解释自然语言文本中对地点和位置以及运动物体的语言描述。 由此产生的静态和动态的描述表示在时空标记语言称为STML，这将被纳入一个拟议的国际标准，空间标注称为ISO空间。然后，STML输出通过自动转换为KML，支持在公制表示（如Google Earth）中的基础。 动态区间时态逻辑（DITL）也被开发，这是一致的STML输出，并提供了语义STML为后续推理的文本。为了自动捕获的位置，路径，和运动结构的文本中，空间处理算法创建。 这些算法建立在时间处理的早期工作，以及新的和持续的工作，确定的地方，分析事件的内部结构与事件结构词典，并添加路径与路径算法。 手工STML标注的语料库上的旅行描述，以评估这些algorithm.This工作是直接相关的，目前的努力，以标准化语义标注，同时也创建可互操作的资源。这项研究的一个主要影响是，几个不同的社区及其资源参与了新的对话和思想交流。 这些领域包括计算语义学和语言学，定性推理，以及逻辑和推理的动态方法。