概念图中法语方面时间信息的推理

14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. Pub Date : 2002-11-04 DOI:10.1109/TAI.2002.1180820

Tassadit Amghar, D. Battistelli, Thierry Charnois

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引用次数: 11

摘要

本文利用语义认知图式(semantic - cognitive Schemes, SCS)和方面-时间理论，在简单概念图(Simple Conceptual Graphs, SCG)中对自然语言处理中的时间、方面和言语意义进行了建模。我们的系统将语义认知表示转化为scg。SCS允许我们将自然语言的微妙之处作为时间和方面的信息来构建文本的表示。概念图的形式主义提供了一个强大的推理机制，使从文本推理成为可能。我们的工作与法语文本有关。文本由两种不同的结构表示，这两种结构都在SCG模型中表示。第一个结构是语义认知表征的模型，第二个结构是时间图，表示文本中描述的情景之间的时间约束。连接这些结构需要对原始SCG模型进行扩展。

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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Reasoning on aspectual-temporal information in French within conceptual graphs

This paper presents a modeling of time, aspect and verbal meanings in natural language processing within Simple Conceptual Graphs (SCG) by way of Semantico-Cognitive Schemes (SCS) and the aspectual-temporal theory. Our system translates a semantico-cognitive representation in terms of SCGs. The SCS allows us to build a representation of a text taking into account fine subtleties of natural language as the information about time and aspect. The Conceptual Graphs formalism provides a powerful inferential mechanism which makes it possible to reason from texts. Our work bears on French texts. A text is represented by two different structures both represented within the SCG model. The first structure models the semantico-cognitive representation while the second one is the temporal diagram representing the temporal constraints between the situations described in the text. Linking these structures entails an expansion of the original SCG model.

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来源期刊

14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings.

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