Abstract In this theoretical paper, we consider the notion of semantic competence and its relation to general language understanding—one most sough-after goals Artificial Intelligence. We come back three main accounts involving (a) lexical knowledge; (b) truth-theoretic reference; (c) causal chains in use. argue that all are needed reach a meaning artificial agents suggest they can be combined ...

The separating words problem asks for the size of the smallest DFA needed to distinguish between two words of length ≤ n (by accepting one and rejecting the other). In this paper we survey what is known and unknown about the problem, consider some variations, and prove several new results.

Previous studies have shown that average fixation duration is different depending on what task a person is performing. Our goal was to find out whether or not one’s reading speed would affect their average fixation duration during a visual search. We collected data on 11 different participants, first measuring reading speed, measured in words per minute (wpm), by having them read a sample passa...

Does SVM really scale up to large bag of words feature spaces? Motivation

This paper shows how semantic attributes can be used to improve object classification. The semantic attributes used fall into five groups: scene (e.g. ‘road’), colour (e.g. ‘green’), part (e.g. ‘face’), shape (e.g. ‘box’), and material (e.g. ‘wood’). We train a set of classifiers for individual semantic attributes, and use them to make predictions on new images (Figure 1). We can then use the s...