Natural Language Processing in Content Management

Mariana Damova

Le 18 avril 2007 à 11 h 30

Salle 3195, Pavillon André-Aisenstadt


This presentation will discuss how linguistic relevance parameters improve the quality of knowledge discovery and use, thus bringing a substantial added value to the quality of the accessed information and enabling efficient and optimal response. It shows linguistic relevance pertinence as a natural extension of other well-spread pertinence parameters, such as popularity, authority, user profile analytics, etc. It will discuss several different dimensions of natural language relevance parameters: formal linguistic, and subjective perceptual, and how they interrelate to bring best results in different kinds of knowledge use paradigms. We will give some comparative examples of results.


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