Semantic Categories: Uncertainty and Similarity

This paper addresses understanding and categorizing language by using Markov categories to establish a mathematical framework for semantic concepts. This framework enables us to measure the semantic similarity between linguistic expressions within a given text. Furthermore, this approach enables the...

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Bibliographic Details
Main Authors: Ares Fabregat-Hernández, Javier Palanca, Vicent Botti
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/29/6/106
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