Title

Computing with words beyond quantitative words: Incongruity modeling

Authors

Boris Kovalerchuk, Central Washington UniversityFollow
Andrew Smigaj, Central Washington University

Document Type

Conference Proceeding

Department or Administrative Unit

Computer Science

Publication Date

8-17-2015

Abstract

Soft computing and computing with words (CWW) operate with uncertain natural language (NL) statements to make NL statements more exact. Currently these NL statements in CWW are limited by quantitative concepts. This paper expands CWW beyond quantitative words to texts that contain incongruities. Incongruities are common in jokes, ironies and contradictory texts. A dynamic model, an algorithm, and visualization are proposed for recognizing incongruities.

Comments

This article was originally published in 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS). The full-text article from the publisher can be found here.

Due to copyright restrictions, this article is not available for free download from ScholarWorks @ CWU.

Recommended Citation

Kovalerchuk, B., & Smigaj, A. (2015). Computing with words beyond quantitative words: Incongruity modeling. 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Held Jointly with 2015 5th World Conference on Soft Computing (WConSC). https://doi.org/10.1109/nafips-wconsc.2015.7284193

Journal

2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)

Rights

Copyright © 2015, IEEE