In the last years the quantity of text documents is increasing continually and automatic document classification is an important challenge. In the text document classification the training step is essential in obtaining a good classifier. The quality of learning depends on the dimension of the training data. When working with huge learning data sets, problems regarding the training time that in...

Multiword expressions (MWEs) are linguistic objects containing two or more words and showing idiosyncratic behavior at different levels. Treebanks with annotated MWEs enable studies of such properties, as well as training and evaluation of MWE-aware parsers. However, few treebanks contain full-fledged MWE annotations. We show how this gap can be bridged in Polish by projecting 3 MWE resources o...

............................................................................... . VII Acknowledgement .......................................................................... IX Publications ............................................................................ X List of Figures ........................................................................... XII Chapter 1 Background and Intr...

A working classification for forensic odontology was formulated based on the relationship of various dental specialities with forensic odontology [2]. A detailed review about the utility of these dental specialities with forensic odontology was ascertained to understand the forensic implications of each individual dental speciality and to do research in the parent dental speciality [3]. The new...

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...