Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) s...
Several theories of grammar currently converge toward inserting subcategorization information within lexical entries. Such a tendency would benefit from a parsing algorithm able t...
The paper begins with a response to the nature of contemporary artists relationships to how computers have permeated the fine art domain and how they affect the creative process. ...