Search Results - "Mouratidis, Despoina"

Deep Learning for Fake News Detection in a Pairwise Textual Input Schema by Mouratidis, Despoina, Nikiforos, Maria Nefeli, Kermanidis, Katia Lida

“…In the past decade, the rapid spread of large volumes of online information among an increasing number of social network users is observed. It is a phenomenon…”
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Virtual Learning Communities (VLCs) rethinking: From negotiation and conflict to prompting and inspiring by Tzanavaris, Spyros, Nikiforos, Stefanos, Mouratidis, Despoina, Kermanidis, Katia Lida

“…Research analysis usually focuses on terms of negotiation –argument, conflict, agreement, disagreement- as indications of collaborative learning. The reported…”
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Innovatively Fused Deep Learning with Limited Noisy Data for Evaluating Translations from Poor into Rich Morphology by Mouratidis, Despoina, Kermanidis, Katia Lida, Sosoni, Vilelmini

“…Evaluation of machine translation (MT) into morphologically rich languages has not been well studied despite its importance. This paper proposes a classifier,…”
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Ensemble and Deep Learning for Language-Independent Automatic Selection of Parallel Data by Mouratidis, Despoina, Kermanidis, Katia

“…Machine translation is used in many applications in everyday life. Due to the increase of translated documents that need to be organized as useful or not (for…”
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Bridging Linguistic Gaps: Developing a Greek Text Simplification Dataset by Agathos, Leonidas, Avgoustis, Andreas, Kryelesi, Xristiana, Makridou, Aikaterini, Tzanis, Ilias, Mouratidis, Despoina, Katia Lida Kermanidis, Kanavos, Andreas

“…Text simplification is crucial in bridging the comprehension gap in today’s information-rich environment. Despite advancements in English text simplification,…”
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Comparative Study of Recurrent and Dense Neural Networks for Classifying Maritime Terms by Mouratidis, Despoina, Kermanidis, Katia, Kanavos, Andreas

“…Despite its importance, the extraction of domain-specific terms has not been sufficiently studied. This paper proposes an automated approach for…”
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Exploring the Effectiveness of Employing Limited Resources for Deep Neural Pairwise Evaluation of Machine Translation by Mouratidis, Despoina, Kermanidis, Katia Lida

“…In this paper, a light resource learning schema, i.e. a schema that depends on limited resources, is introduced, which aims to choose the better translation…”
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ShipQuest: A Bottom-Up Approach for Building a Modern Greek Maritime Ontology by Mathe, Eirini, Mouratidis, Despoina, Voutos, Yorghos, Kermanidis, Katia, Mylonas, Phivos, Kanavos, Andreas

“…The ShipQuest Ontology is a pioneering legal maritime ontology designed for modeling and integrating legal information in the Greek language. This standardized…”
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