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From ALIBI to COLUMBUS. The long march to self-aware, reflective computational models of humor

From ALIBI to COLUMBUS. The long march to self-aware, reflective computational models of humor

Nissan, Ephraim (1996) From ALIBI to COLUMBUS. The long march to self-aware, reflective computational models of humor. In: Twente Workshop on Language Technology (TWLT12) - Automatic Interpretation and Generation of Verbal Humor, 11-14 Sep 1996, University of Twente, Enschede, The Netherlands.

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Abstract

One thing is (a) to develop a system that handles some task to one's satisfaction, and also has a universally recognized myrthful side to its output. Another thing is (b) to provide an analysis of why you are getting such a byproduct. Yet another thing is (c) to develop a model that incorporates reflection about some phenomenon in humor for its own sake. This paper selects for discussion especially Alibi, going on to describe the preliminaries of Columbus. The former, which fits in (a), is a planner with an explanatory capability. It invents pretexts. It's no legal defense, but it is relevant to evidential thinking in AI & Law. Some of the output pretext are myrthful. Not in the sense they are silly: they are not. A key factor seems to be the very alacrity at explaining out detail after detail of globally damning evidence. I attempt a reanalysis of Alibi in respect of (b). As to Columbus, it fits instead in (c). We introduce here the basics of this (unimplemented) model, developed to account for a sample text in parody.

Item Type: Conference or Conference Paper (Paper)
Additional Information: [1] Presented at Workshop: Interpretation and Generation of Verbal Humor. Held Thursday, September 12, 1996. Formed part of IWCH '96. [2] IWCH'96 is the twelfth Twente Workshop on Language Technology (TWLT12). The TWLT series is hosted by the Parlevink Linguistic Engineering Group and is sponsored by the Centre of Telematics and Information Technology (CTIT).
Uncontrolled Keywords: ALIBI, COLUMBUS, reflective computational models of humor
Subjects: Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/30

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