Pavlo Kapustin


2020

pdf bib
Semantic parsing with fuzzy meaning representations
Pavlo Kapustin | Michael Kapustin
Proceedings of the Second International Workshop on Designing Meaning Representations

We propose an approach and a software framework for semantic parsing of natural language sentences to discourse representation structures with use of fuzzy meaning representations such as fuzzy sets and compatibility intervals. We explain the motivation for using fuzzy meaning representations in semantic parsing and describe the design of the proposed approach and the software framework, discussing various examples. We argue that the use of fuzzy meaning representations have potential to improve understanding and reasoning capabilities of systems working with natural language.

2019

pdf bib
Modeling language constructs with fuzzy sets: some approaches, examples and interpretations
Pavlo Kapustin | Michael Kapustin
Proceedings of the 13th International Conference on Computational Semantics - Student Papers

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.

pdf bib
Modeling language constructs with compatibility intervals
Pavlo Kapustin | Michael Kapustin
Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures