Frame-Shifting Humor in Simulation- Based Language Understanding

In an effort to focus on tractable problems, computational natural-language-understanding systems have typically addressed language phenomena that are amenable to combinatorial approaches using static and stereotypical semantic representations. Although such approaches are adequate for much of language, they’re not easily extended to capture humans’ more creative language interpretation capacities. An alternative tack is to begin by modeling less typical, more complex phenomena, with the goal of encompassing standard language as a trivial case.1