对具有兼容性间隔的语言构造进行建模

Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures Pub Date : 2019-06-01 DOI:10.18653/v1/W19-1006

Pavlo Kapustin, Michael Kapustin

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引用次数: 1

摘要

我们描述了一种与模糊集密切相关的自然语言结构的意义建模表示。与模糊集一样，它允许表达不同概念之间的定量关系，并且旨在支持自然语言常见的模糊性和不精确性。我们使用几个示例比较了这些表示，并认为在某些情况下，所提出的表示可能是基于模糊集的表示的一个很好的替代方案，并且它也可能更容易从数据中学习。

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Modeling language constructs with compatibility intervals

We describe a representation for modeling meaning of natural language constructs that is closely related to fuzzy sets. Same as fuzzy sets, it allows to express quantitative relationships between different concepts, and is designed to support vagueness and imprecision common to natural language. We compare the representations using several examples, and argue that in some cases the proposed representation may be a good alternative to the fuzzy set based representation, and that it may also be easier to learn from data.

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来源期刊

Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures

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