Modeling language constructs with fuzzy sets: some approaches, examples and interpretations

Pavlo Kapustin, Michael Kapustin


Abstract
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 knowledge representation for problems of computational linguistics and natural language processing.
Anthology ID:
W19-0604
Volume:
Proceedings of the 13th International Conference on Computational Semantics - Student Papers
Month:
May
Year:
2019
Address:
Gothenburg, Sweden
Venue:
IWCS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
24–33
Language:
URL:
https://aclanthology.org/W19-0604
DOI:
10.18653/v1/W19-0604
Bibkey:
Cite (ACL):
Pavlo Kapustin and Michael Kapustin. 2019. Modeling language constructs with fuzzy sets: some approaches, examples and interpretations. In Proceedings of the 13th International Conference on Computational Semantics - Student Papers, pages 24–33, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):
Modeling language constructs with fuzzy sets: some approaches, examples and interpretations (Kapustin & Kapustin, IWCS 2019)
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PDF:
https://aclanthology.org/W19-0604.pdf