no code implementations • DMR (COLING) 2020 • Pavlo Kapustin, Michael Kapustin
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.
no code implementations • WS 2019 • Pavlo Kapustin, Michael Kapustin
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.
no code implementations • 29 May 2015 • Michael Kapustin, Pavlo Kapustin
In this introductory article we present the basics of an approach to implementing computational interpreting of natural language aiming to model the meanings of words and phrases.