We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
: This paper is an introdnction to KASSYS, a system that has been designed to extract information from detining statements in natural language. Only hyperonymous detinitions are de...
In this paper a large amount of absolute mean opinion scores obtained within a single listening test are presented. Naïve listeners’ preference on different speech signal prope...
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...