Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Katia Lida, Kermanidis"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7997 (2024)
Simplicity in information found online is in demand from diverse user groups seeking better text comprehension and consumption of information in an easy and timely manner. Readability assessment, particularly at the sentence level, plays a vital role
Externí odkaz:
https://doaj.org/article/552eb2a24f85474fb6d11b25c52a8708
Autor:
Leonidas Agathos, Andreas Avgoustis, Xristiana Kryelesi, Aikaterini Makridou, Ilias Tzanis, Despoina Mouratidis, Katia Lida Kermanidis, Andreas Kanavos
Publikováno v:
Information, Vol 15, Iss 8, p 500 (2024)
Text simplification is crucial in bridging the comprehension gap in today’s information-rich environment. Despite advancements in English text simplification, languages with intricate grammatical structures, such as Greek, often remain under-explor
Externí odkaz:
https://doaj.org/article/f44ac086c62546a3ab72ee34f6751ef6
Autor:
Stefanos Nikiforos, Eleftheria Anastasopoulou, Athina Pappa, Spyros Tzanavaris, Katia Lida Kermanidis
Publikováno v:
Computers, Vol 13, Iss 7, p 177 (2024)
The onset of the COVID-19 pandemic prompted a rapid shift to Emergency Remote Teaching (ERT). Social networks had a key role in supporting the educational community in facing challenges and opportunities. A quantitative study was conducted to assess
Externí odkaz:
https://doaj.org/article/8fead6f93b744be5a599551dded4e6d8
Publikováno v:
Computers, Vol 12, Iss 6, p 111 (2023)
Highly-skilled migrants and refugees finding employment in low-skill vocations, despite professional qualifications and educational backgrounds, has become a global tendency, mainly due to the language barrier. Employment prospects for displaced comm
Externí odkaz:
https://doaj.org/article/94b3e51e189d4dab9c75d4f946804f6a
Autor:
Maria Nefeli Nikiforos, Yorghos Voutos, Anthi Drougani, Phivos Mylonas, Katia Lida Kermanidis
Publikováno v:
Data, Vol 6, Iss 5, p 52 (2021)
Mining social web text has been at the heart of the Natural Language Processing and Data Mining research community in the last 15 years. Though most of the reported work is on widely spoken languages, such as English, the significance of approaches t
Externí odkaz:
https://doaj.org/article/f925887f06e7443d92974acad1c6cede
Publikováno v:
Computation, Vol 9, Iss 2, p 20 (2021)
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 that has often been exploited by malicious users and entities, which forge, distribute, and
Externí odkaz:
https://doaj.org/article/44e0c6a53f4e4dcd85611847ada1a1f8
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 639 (2021)
Evaluation of machine translation (MT) into morphologically rich languages has not been well studied despite its importance. This paper proposes a classifier, that is, a deep learning (DL) schema for MT evaluation, based on different categories of in
Externí odkaz:
https://doaj.org/article/a3f8e5a3d2c2426981974a67c08bd524
Publikováno v:
Education and Information Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807a355c1e14a3240384941c8eb2cb83
https://doi.org/10.1007/s10639-023-11582-2
https://doi.org/10.1007/s10639-023-11582-2
Publikováno v:
2022 17th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9106f73cfab299106a8a8d896e65822b
https://doi.org/10.1109/smap56125.2022.9941803
https://doi.org/10.1109/smap56125.2022.9941803
Autor:
Katia Lida Kermanidis
Publikováno v:
Research Anthology on Game Design, Development, Usage, and Social Impact ISBN: 9781668475898
Machine learning approaches to player modeling traditionally employ a high-level game-knowledge-based feature for representing game sessions, and often player behavioral features as well. The present work makes use of generic low-level features and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b292f674068f4a59fceab0d501191f9
https://doi.org/10.4018/978-1-6684-7589-8.ch018
https://doi.org/10.4018/978-1-6684-7589-8.ch018
