Inferring knowledge from a large semantic network
Dominique Dutoit, Thierry Poibeau (LIPN)
TL;DR
This paper introduces a semantic network constructed through differential analysis, with measures for comparing word features, and discusses industrial applications of this approach.
Contribution
It presents a novel semantic network based on differential analysis and tailored measures for word comparison, along with practical industrial applications.
Findings
Effective measures for word feature comparison
A comprehensive semantic network framework
Industrial applications demonstrating utility
Abstract
In this paper, we present a rich semantic network based on a differential analysis. We then detail implemented measures that take into account common and differential features between words. In a last section, we describe some industrial applications.
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Taxonomy
TopicsCognitive Computing and Networks · Natural Language Processing Techniques · Neural Networks and Applications