We present and discuss a couple of approaches, including different types of projections, and some examples, discussing the use of fuzzy sets for modeling meaning of certain types of language constructs. We are mostly focusing on words other than adjectives and linguistic hedges as these categories are the most studied from before. We discuss logical and linguistic interpretations of membership functions. We argue that using fuzzy sets for modeling meaning of words and other natural language constructs, along with situations described with natural language is interesting both from purely linguistic perspective, and also as a meaning representation for problems of computational linguistics and natural language processing.
In P. REF we describe a couple of approaches that can be used for modeling meaning of natural language constructs using fuzzy sets and discuss some examples.
Modeling language constructs with fuzzy sets: some approaches, examples and interpretations
Proceedings of the 13th International Conference on Computational Semantics - Student Papers
Proceedings of the 13th International Conference on Computational Semantics - Student Papers
Computer Science