@inproceedings{kapustin-kapustin-2020-semantic,
title = "Semantic parsing with fuzzy meaning representations",
author = "Kapustin, Pavlo and
Kapustin, Michael",
editor = "Xue, Nianwen and
Bos, Johan and
Croft, William and
Haji{\v{c}}, Jan and
Huang, Chu-Ren and
Oepen, Stephan and
Palmer, Martha and
Pustejovsky, James",
booktitle = "Proceedings of the Second International Workshop on Designing Meaning Representations",
month = dec,
year = "2020",
address = "Barcelona Spain (online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.dmr-1.8",
pages = "78--89",
abstract = "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.",
}
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%0 Conference Proceedings
%T Semantic parsing with fuzzy meaning representations
%A Kapustin, Pavlo
%A Kapustin, Michael
%Y Xue, Nianwen
%Y Bos, Johan
%Y Croft, William
%Y Hajič, Jan
%Y Huang, Chu-Ren
%Y Oepen, Stephan
%Y Palmer, Martha
%Y Pustejovsky, James
%S Proceedings of the Second International Workshop on Designing Meaning Representations
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona Spain (online)
%F kapustin-kapustin-2020-semantic
%X 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.
%U https://aclanthology.org/2020.dmr-1.8
%P 78-89
Markdown (Informal)
[Semantic parsing with fuzzy meaning representations](https://aclanthology.org/2020.dmr-1.8) (Kapustin & Kapustin, DMR 2020)
ACL
- Pavlo Kapustin and Michael Kapustin. 2020. Semantic parsing with fuzzy meaning representations. In Proceedings of the Second International Workshop on Designing Meaning Representations, pages 78–89, Barcelona Spain (online). Association for Computational Linguistics.