Text that appears in images contains important and useful information. Detection and extraction of text in images have been used in many applications. In this paper, we propose a ...
This paper addresses the problem of identifying likely topics of texts by their position in the text. It describes the automated training and evaluation of an Optimal Position Pol...
In this poster we present the current results of several experiments in which we analyzed whether spamming Google Scholar is possible. Our results show, it is possible: We ,,impro...
In this paper we discuss algorithms for clustering words into classes from unlabelled text using unsupervised algorithms, based on distributional and morphological information. We...
Ranking documents in a selected corpus plays an important role in information retrieval systems. Despite notable advances in this direction, with continuously accumulating text do...
Byung-Hoon Park, Nagiza F. Samatova, Rajesh Munava...