This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a simila...
We present a critique of language-based modelling for text input research, and propose an alternative inputbased approach. Current language-based statistical models are derived fr...
This paper deals with the uses of the annotations of third person singular neuter pronouns in the DAD parallel and comparable corpora of Danish and Italian texts and spoken data. ...
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...