no code implementations • 6 Nov 2023 • Eoin Kenny, Eoin Delaney, Mark Keane
Explainable AI (XAI) has been proposed as a valuable tool to assist in downstream tasks involving human and AI collaboration.
no code implementations • WS 2017 • Conor Kelleher, Mark Keane
We present a distant reading of this work designed to complement a close reading of it by David Foster Wallace (1990).
no code implementations • 8 May 2014 • Phil Maguire, Philippe Moser, Rebecca Maguire, Mark Keane
In this article we demonstrate how algorithmic probability theory is applied to situations that involve uncertainty.
no code implementations • 9 Aug 2013 • Mark Keane
Analogy has been shown to be important in many key cognitive abilities, including learning, problem solving, creativity and language change.
no code implementations • 13 Dec 2012 • Aaron Gerow, Mark Keane
In Study 2, we determined whether the argument-distributions for the verbs in these antonym-pairs were sufficiently similar to predict the most frequently-identified antonym.
no code implementations • 13 Dec 2012 • Aaron Georw, Mark Keane
Using a corpus of over 17, 000 financial news reports (involving over 10M words), we perform an analysis of the argument-distributions of the UP- and DOWN-verbs used to describe movements of indices, stocks, and shares.