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In search of patterns in incident reports: A syntactic approach.

机译:在事件报告中搜索模式:一种语法方法。

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This research presents a novel methodology for automated analysis of text narratives. Current approaches hinge on statistical analysis of keywords and phrases and to a minor extent syntax. Due to their over-reliance on domain-specific knowledge and their lack of underlying behavioral models, these approaches have significant limitations particularly for problems dealing with human performance.; What is presented here is an approach based on text segmentation utilizing syntactic templates. This segmentation is inspired by linguistic theory and the idea of "mental event" types in narratives. The goal is to contribute with a complementary approach to the current methods, facilitating the detection of behavioral patterns in text. This work contains the method's conceptual formalization together with its computational implementation. Finally the data distribution is examined, raising the hypothesis about the method's potential usefulness. The results are applied to a specific problem in Aviation Safety dealing with Human Performance Errors.
机译:这项研究提出了一种自动分析文本叙述的新颖方法。当前的方法取决于对关键字和短语以及少量语法的统计分析。由于对特定领域知识的过度依赖以及缺乏基本的行为模型,这些方法特别是在处理人类绩效问题上有很大的局限性。这里提出的是一种基于利用句法模板的文本分割的方法。这种细分受到语言学理论和叙事中“心理事件”类型观念的启发。目标是为当前方法提供补充方法,以促进文本行为模式的检测。这项工作包含该方法的概念形式化及其计算实现。最后,检查了数据分布,提出了关于该方法潜在有用性的假设。结果适用于处理人为绩效错误的航空安全中的特定问题。

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