away concepts from the surface form of the text. The authors argue that while there has been research into automatic classification, general classification schemes are unsuitable f...
This paper describes an advanced system for multilingual text classification adaptable to different user needs. The system has been initially developed as an applied research proje...
Fabio Ciravegna, Alberto Lavelli, Nadia Mana, Joha...
The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting th...
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Poor literacy remains a decisive barrier to the economic empowerment of many people in the developing world. Of particular importance is literacy in a widely spoken "world la...
Matthew Kam, Divya Ramachandran, Varun Devanathan,...