This paper presents an approach to acquire knowledge from Wikipedia categories and the category network. Many Wikipedia categories have complex names which reflect human classific...
Tiffs work belongs to a family of research efforts, called nficrotheories and aimed at describing the static inemfing of all lexical categories in several languages in the fr,...
In this paper we present SINTESI, a system for the knowledge extraction from Italian inputs, currently under development in our re,search centre. It is used on short descriptive d...
This paper connects two research areas: automatic tagging on the web and statistical keyphrase extraction. First, we analyze the quality of tags in a collaboratively created folks...
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...