Dimitrios P. Lyras

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In the present work we have implemented the Edit Distance (also known as Levenshtein Distance) on a dictionary-based algorithm in order to achieve the automatic induction of the normalized form (lemma) of regular and mildly irregular words with no direct supervision. The algorithm combines two alignment models based on the string similarity and the most(More)
Next generation sequencing (NGS) platforms are replacing traditional molecular biology protocols like cloning and Sanger sequencing. However, accuracy of NGS platforms has rarely been measured when quantifying relative frequencies of genotypes or taxa within populations. Here we developed a new bioinformatic pipeline (QRS) that pools similar sequence(More)
A large Greek-English Dictionary with 81,515 entries, 192,592 translations into English and 50,106 usage examples with their translation has been developed in combined printed and electronic (DVD) form. The electronic dictionary features unique facilities for searching the entire or any part of the Greek and English section, and has incorporated a series of(More)
Anxiety disorders are considered the most prevalent of mental disorders. Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigation. Toward this direction, in this study a context-aware(More)
Obtaining an accurate sequence alignment is fundamental for consistently analyzing biological data. Although this problem may be efficiently solved when only two sequences are considered, the exact inference of the optimal alignment easily gets computationally intractable for the multiple sequence alignment case. To cope with the high computational(More)
While anxiety disorders exhibit an impressive spread especially in western societies, context-awareness seems a promising technology to provide assistance to physicians in psychotherapy sessions. In the present paper an approach addressing the assistance of the anxiety disorders' treatment is proposed. The suggested method employs the a priori association(More)
In the present work we used a word clustering algorithm based on the perplexity criterion, in a Dialogue Act detection framework in order to model the structure of the speech of a user at a dialogue system. Specifically, we constructed an n-gram based model for each target Dialogue Act, computed over the word classes. Then we evaluated the performance of(More)