A Heuristic Approach to Order Events in Narrative Texts

Farid Nouioua
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引用次数: 2

Abstract

We describe a heuristic method to order the events evoked in texts describing road accidents. The method consists first in generating, by non monotonic inference rules, a set of precedence and simultaneity constraints between temporal references linked to particular words of the text. Then, the proposed algorithm updates the narration order of the events to satisfy these constraints and give the real order of the events described in this text. The temporal information is represented according to a linear temporal model which is enhanced in a first order reified language.
叙事文本中事件排序的启发式方法
我们描述了一种启发式方法来对描述道路交通事故的文本中所引起的事件进行排序。该方法首先通过非单调推理规则生成一组与文本特定单词相关的时间引用之间的优先级和同时性约束。然后,该算法更新事件的叙述顺序以满足这些约束,并给出本文描述的事件的真实顺序。时间信息根据一阶具体化语言增强的线性时间模型来表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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