Computing with words beyond quantitative words: Incongruity modeling
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.
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
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.
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