Computing with words beyond quantitative words: Incongruity modeling
Department or Administrative Unit
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.
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
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)
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