CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
The first version of the data management plan (DMP) will be prepared by M6 to outline how the research data are collected or generated and will be handled during a project, and after it is completed, describe what data will be collected/generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. The DMP is a living document: it will be updated by the end of each reporting period. DMP includes: (1) What data will be collected/generated; (2) What standards will be used; (3) What types and format of data will be created; (4) How will metadata be generated; (5) How will the data be documented; (6) What data will be exploited, shared, made open; (7) How and by whom will data be curated and preserved.
Data management plan – Version 3 (s’ouvre dans une nouvelle fenêtre)The final version of the data management plan (DMP) will be prepared by M30 to outline how the research data has been collected or generated by this point in the project and will be further handled after it is completed, whether and how this data will be shared and/or made open, and how it will be curated and preserved.
Data management plan – Version 2 (s’ouvre dans une nouvelle fenêtre)The second updated version of the data management plan (DMP) will be prepared by M17 to outline how the research data is collected or generated by this point in the project and will be further handled during a project, and after it is completed, describe what data will be collected/generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.
The document will outline the initial version of the detailed planning of the dissemination and communication activities in a systematic manner, with the aim of performing actions and campaigns that reach specific groups and audiences for specific purposes. The plan will also address the exploitation and sustainability aspects, ensuring the timely promotion of the project’s outcomes and engagement of parties outside the Consortium, interested to use or adopt them.
Shared task report (s’ouvre dans une nouvelle fenêtre)The report will consist of the description of the implementation and results of the shared task utilising a dataset created within the project. The task will be open to individual researchers (with focus on doctoral and postdoctoral researchers) as well as small teams also from external researchers. The shared task participants will be invited to submit their results and the best performing ones also a paper. Individual and general results of participants will be also included to the report.
Plan for dissemination and exploitation including communication – Version 2 (s’ouvre dans une nouvelle fenêtre)The document will outline the final detailed planning of the dissemination and communication activities in a systematic manner, with the aim of performing actions and campaigns that reach specific groups and audiences for specific purposes. The plan will also address the exploitation and sustainability aspects based on the project's results at the time, ensuring the timely promotion of the project’s outcomes and engagement of parties outside the Consortium, interested to use or adopt them.
Summer school report (s’ouvre dans une nouvelle fenêtre)The report will describe the organizing and results of the Summer School on Trustworthy AI and NLP, which will take place in Slovakia. The summer school will be open to doctoral students, master's students in the last year of their study, and postdoctoral researchers within 3 years after receiving their Ph.D. degree. The study programme and summer school results will also be included to the report.
Report on CLARIN integration and other liaison activities (s’ouvre dans une nouvelle fenêtre)The report will outline the results of the implementation of the measures aimed at improving the visibility and integration of KInIT in major European LT initiatives and bodies, which include: active engagement in major LT bodies and projects, and linking with major LT industry associations.
Report on dissemination, communication and synergy activities – Version 1 (s’ouvre dans une nouvelle fenêtre)The report will outline the mid-term results of dissemination and communication activities in a systematic manner listing the performed actions and campaigns that reach specific groups and audiences for specific purposes. The report will also address the exploitation and sustainability mid-term results, focusing on the outcomes of promotion of the project’s outcomes and engagement of parties outside the Consortium, interested to use or adopt them.
Ethics, innovation and IPR management plan (s’ouvre dans une nouvelle fenêtre)The document will describe the planned measures for IPR management, as well as ethics and innovation management. The followed policies like the Open Science policy will be mentioned.
Scientific webinar series report (s’ouvre dans une nouvelle fenêtre)The report will include information about the implementation of four webinars (online expert lectures followed by a discussion and knowledge sources sharing) and the results thereof (list of participants, presenters, topics discussed, feedback, and lessons learned). The webinars will cover the topics of disinformation combating, multimodal AI, multilingual AI and trustworthy AI.
Training report on research management support and operation (s’ouvre dans une nouvelle fenêtre)The report will include the description and results of the physical workshops or virtual webinars on the topic of research management support and operation, which will include the overall description of the topic, the organizational matters, participants list, outcomes, and lessons learned.
Training report on opportunity seeking and scientific proposal writing (s’ouvre dans une nouvelle fenêtre)The report will include the description and results of the physical workshops or virtual webinars on the topic of opportunity-seeking and proposal writing, which will include the overall description of the topic, the organizational matters, participants list, outcomes, and lessons learned.
Replication challenge report (s’ouvre dans une nouvelle fenêtre)The report will describe the organization and results of the replication challenge targeted at doctoral students. Each involved student will be assigned a mentor from the leading partners. Together they will select a scientific paper (related to the project topic) and replicate the research described therein. The process and results of individual projects' realization will also be included in the report.
Report on dissemination, communication and synergy activities – Version 2 (s’ouvre dans une nouvelle fenêtre)The report will outline the final results of dissemination and communication activities in a systematic manner listing the performed actions and campaigns that reach specific groups and audiences for specific purposes. The report will also address the exploitation and sustainability mid-term results, focusing on the outcomes of promotion of the project’s outcomes and engagement of parties outside the Consortium, interested to use or adopt them.
Training report on innovation, technology transfer and networking (s’ouvre dans une nouvelle fenêtre)The report will include the description and results of the physical workshops or virtual webinars on the topic of innovation, technology transfer, and networking, which will include the overall description of the topic, the organizational matters, participants list, outcomes, and lessons learned.
The dataset with accompanying description including labelling scheme and selected quantitative characteristics. Data collection will include several approaches, e.g., automatic content crawling, crowdsourcing or using human experts to annotate data, based on requirements for various tasks. Data collected will be used to answer research questions posed in tasks 2.2-2.4 and will be treated following the FAIR principles.
The consortium will develop novel machine learning methods for multilingual claim matching, utilizing data from source languages to perform claim matching in target languages. The methods developed will be mainly based on foundation multilingual language models and will derive from these.
The plan will have a description of brand identity and visuals; website including a splash page; promotional material (brochure/leaflet, poster, roll-up, slides, poster, promo video); communication materials (press releases, newsletters, and additional mass mailing, “exploitation booster materials” to our target groups/stakeholders, aiming to contribute to its use and to maximize the impact of the project; social Media (SNS) management.
Publications
Auteurs:
Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan, Qiwei Peng, Tomáš Javůrek, Michal Gregor, Marián Šimko
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Ľuboš Kriš, Jaroslav Kopčan, Qiwei Peng, Andrej Ridzik, Marcel Veselý, Martin Tamajka
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Peng, Qiwei; Chai, Yekun; Li, Xuhong
Publié dans:
2024
Éditeur:
International Committee on Computational Linguistics
DOI:
10.48550/arXiv.2402.16694
Auteurs:
Chai, Yekun; Fang, Yewei; Peng, Qiwei; Li, Xuhong
Publié dans:
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2406.11687
Auteurs:
Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, Tatiana Anikina, Michal Gregor, Marian Simko
Publié dans:
Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.FINDINGS-EMNLP.852
Auteurs:
Matúš Pikuliak, Stefan Oresko, Andrea Hrckova, Marian Simko
Publié dans:
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.FINDINGS-EMNLP.173
Auteurs:
Peng, Qiwei; Søgaard, Anders
Publié dans:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2410.01079
Auteurs:
Stefanos-Iordanis Papadopoulos, Ivana Beňová, Sebastian Kula, Michal Gregor, George Karantaidis, Tomáš Javůrek, Marián Šimko, Symeon Papadopoulos
Publié dans:
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
Éditeur:
ACM
DOI:
10.1145/3731715.3733402
Auteurs:
Daniil Gurgurov; Rishu Kumar; Simon Ostermann 0002
Publié dans:
Findings of the Association for Computational Linguistics: NAACL 2025, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2409.18193
Auteurs:
Pecher, Branislav; Srba, Ivan; Bielikova, Maria
Publié dans:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2402.12819
Auteurs:
Julian Schlenker, Jenny Kunz, Tatiana Anikina, Günter Neumann, Simon Ostermann
Publié dans:
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.ACL-SRW.62
Auteurs:
Pikuliak, Matúš; Srba, Ivan; Moro, Robert; Hromadka, Timo; Smolen, Timotej; Melisek, Martin; Vykopal, Ivan; Simko, Jakub; Podrouzek, Juraj; Bielikova, Maria
Publié dans:
2023
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2305.07991
Auteurs:
Tatiana Anikina, Jan Cegin, Jakub Simko, Simon Ostermann
Publié dans:
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.EMNLP-MAIN.418
Auteurs:
Qiwei Peng, Robert Moro, Michal Gregor, Ivan Srba, Simon Ostermann, Marian Simko, Juraj Podrouzek, Matúš Mesarčík, Jaroslav Kopčan, Anders Søgaard
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Qiwei Peng, Yekun Chai, Anders Søgaard
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Ivana Benová; Jana Kosecka; Michal Gregor; Martin Tamajka; Marcel Veselý; Marián Simko
Publié dans:
Lecture Notes in Computer Science ISBN: 9783031826696, 2025
DOI:
10.1007/978-3-031-82670-2_7
Auteurs:
Chrysidis Z.; Papadopoulos S. I.; Papadopoulos S.; Petrantonakis P.
Éditeur:
The Association for Computing Machinery
DOI:
10.1145/3643491.3660278
Auteurs:
Jan Cegin, Jakub Simko, Peter Brusilovsky
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Ivan Vykopal; Simon Ostermann 0002; Marián Simko
Publié dans:
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2407.02317
Auteurs:
Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, Marián Šimko
Publié dans:
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Marek Suppa, Andrej Ridzik, Daniel Hládek, Tomáš Javůrek, Viktória Ondrejová, Kristína Sásiková, Martin Tamajka, Marian Simko
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Matej Cief, Branislav Kveton, Michal Kompan
Publié dans:
Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Éditeur:
IOS Press
DOI:
10.3233/FAIA240703
Auteurs:
Pikuliak, Matúš; Beňová, Ivana; Bachratý, Viktor
Publié dans:
2023
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2302.12640
Auteurs:
Daniil Gurgurov, Ivan Vykopal, Josef Van Genabith, Simon Ostermann
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Daniil Gurgurov, Michal Gregor, Josef Van Genabith, Simon Ostermann
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Qiwei Peng, Guimin Hu, Yekun Chai, Anders Søgaard
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2508.17948
Auteurs:
Daniil Gurgurov; Mareike Hartmann; Simon Ostermann 0002
Publié dans:
Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2407.01406
Auteurs:
Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova
Publié dans:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2024.ACL-LONG.793
Auteurs:
Benova, Ivana; Gregor, Michal; Gatt, Albert
Publié dans:
CoRR, 2024
Éditeur:
CogSci 2025
DOI:
10.48550/ARXIV.2409.01389
Auteurs:
Branislav Pecher; Ivan Srba; Mária Bieliková
Publié dans:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2402.12817
Auteurs:
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Panagiotis C. Petrantonakis
Publié dans:
2025
Éditeur:
IEEE/CVF
Auteurs:
Matej Cief; Branislav Kveton; Michal Kompan
Publié dans:
Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Éditeur:
AAAI Press
DOI:
10.48550/ARXIV.2405.15332
Auteurs:
Pikuliak, Matúš; Šimko, Marián
Publié dans:
2023
Éditeur:
Association for Computational Linguistics
DOI:
10.48550/ARXIV.2301.01269
Auteurs:
Qingyi Liu; Yekun Chai; Shuohuan Wang; Yu Sun 0004; Qiwei Peng 0002; Keze Wang; Hua Wu 0003
Publié dans:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Éditeur:
EMNLP 2024
DOI:
10.48550/ARXIV.2404.07840
Auteurs:
Tatiana Anikina, Ivan Vykopal, Sebastian Kula, Ravi Kiran Chikkala, Natalia Skachkova, Jing Yang, Veronika Solopova, Vera Schmitt, Simon Ostermann
Publié dans:
2025
Éditeur:
CEUR
Auteurs:
Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky
Publié dans:
Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Éditeur:
Association for Computational Linguistics
DOI:
10.18653/V1/2025.FINDINGS-EMNLP.296
Auteurs:
Ravikiran Chikkala, Tatiana Anikina, Natalia Skachkova, Ivan Vykopal, Rodrigo Agerri, Josef van Genabith
Publié dans:
2025
Éditeur:
INCOMA Ltd., Shoumen, Bulgaria
Auteurs:
Anastasios Skoularikis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos, Panagiotis C. Petrantonakis
Publié dans:
Proceedings of the 2nd International Workshop on Diffusion of Harmful Content on Online Web, 2025
Éditeur:
ACM
DOI:
10.1145/3746275.3762215
Auteurs:
Róbert Belanec; Simon Ostermann 0002; Ivan Srba; Mária Bieliková
Publié dans:
Lecture Notes in Computer Science ISBN 9783662722428, 2025
Éditeur:
Springer-Verlag
DOI:
10.48550/ARXIV.2408.01119
Auteurs:
Daniil Gurgurov, Katharina Trinley, Ivan Vykopal, Josef Van Genabith, Simon Ostermann, Roberto Zamparelli
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef Van Genabith, Simon Ostermann
Publié dans:
2025
Éditeur:
Association for Computational Linguistics
Auteurs:
Branislav Pecher; Ivan Srba; Maria Bielikova
Publié dans:
ACM Computing Surveys, 2024, ISSN 0360-0300
Éditeur:
Association for Computing Machinary, Inc.
DOI:
10.48550/ARXIV.2312.01082
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