从自然语言文本合成LTL公式:现状与研究方向

Time Pub Date : 2019-10-01 DOI:10.4230/LIPIcs.TIME.2019.17
Andrea Brunello, A. Montanari, M. Reynolds
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引用次数: 31

摘要

线性时间逻辑(LTL)常用于模型检查任务;此外,它非常适合技术需求的形式化。然而,时间逻辑公式的正确规范和解释需要强大的数学背景,很难由领域专家完成,相反,他们倾向于依赖于预期系统行为的自然语言描述。在这种情况下,一个能够自动将英语句子翻译成LTL公式,反之亦然的系统将大有帮助。虽然通过正确解析公式,可以以一种相对简单的方式将LTL公式呈现为更可读的英语句子,但由于解释自由的自然语言文本的固有困难,相反的任务仍然是一个开放的问题。虽然过去已经提出了几个部分的解决方案,但文献仍然缺乏对所做工作的批判性评估。我们解决了这一缺点,介绍了英语到ltl翻译问题的现状,并概述了一些可能的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthesis of LTL Formulas from Natural Language Texts: State of the Art and Research Directions
Linear temporal logic (LTL) is commonly used in model checking tasks; moreover, it is well-suited for the formalization of technical requirements. However, the correct specification and interpretation of temporal logic formulas require a strong mathematical background and can hardly be done by domain experts, who, instead, tend to rely on a natural language description of the intended system behaviour. In such situations, a system that is able to automatically translate English sentences into LTL formulas, and vice versa, would be of great help. While the task of rendering an LTL formula into a more readable English sentence may be carried out in a relatively easy way by properly parsing the formula, the converse is still an open problem, due to the inherent difficulty of interpreting free, natural language texts. Although several partial solutions have been proposed in the past, the literature still lacks a critical assessment of the work done. We address such a shortcoming, presenting the current state of the art for what concerns the English-to-LTL translation problem, and outlining some possible research directions.
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