Computing with words beyond quantitative words: Incongruity modeling

摘要

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.