The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
This paper presents a stochastic model of intonation contours for use in text-to-speech s. The model has two modules, a linguistic module that generates abstract prosodic rom text...
Hidden copyright marks have been proposed as a solution for solving the illegal copying and proof of ownership problems in the context of multimedia objects. Many systems have been...
It is argued that the analysis of the learner's generated log files during interactions with a learning environment is necessary to produce interpretative views of their activ...