Title :
Computing with words beyond quantitative words: Incongruity modeling
Author :
Boris Kovalerchuk;Andrew Smigaj
Author_Institution :
Dept. of Computer Science, Central Washington University, Ellensburg, USA
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.
Keywords :
"Visualization","Semantics","Correlation","Marine animals","Web search","Computational modeling","Context"
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
DOI :
10.1109/NAFIPS-WConSC.2015.7284193
