Výpis publikací

VÍTA, Martin a Jakub KLÍMEK. Exploiting Open IE for Deriving Multiple Premises Entailment Corpus. Online. In Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova. Proceedings of Recent Advances in Natural Language Processing. Varna: 2019, 2019, s. 1257-1264. ISBN 978-954-452-055-7. Dostupné z: https://dx.doi.org/10.26615/978-954-452-056-4_144.

VÍTA, Martin a Jakub KLÍMEK. First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines. In Zygmunt Vetulani, Patrick Paroubek. Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019. Poznań: Wydawnictwo Nauka i Innowacje, 2019, s. 143-147. ISBN 978-83-65988-31-7.

VÍTA, Martin. From Building Corpora for Recognizing Faceted Entailment to Recognizing Relational Entailment. Online. In Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki (eds.). Position Papers of the Federated Conference on Computer Science and Information Systems. Warszawa: Polish Information Processing Society, 2018, s. 33-38. ISBN 978-83-949419-8-7. Dostupné z: https://dx.doi.org/10.15439/2018F381.

VÍTA, Martin. Siamese Convolutional Neural Networks for Recognizing Partial Entailment. Online. In J. Zendulka, M. Bieliková, R. Burget, Z. Křivka (eds.). Siamese Convolutional Neural Networks for Recognizing Partial Entailment. Brno: Vysoké učení technické v Brně, 2018, s. 237-242. ISBN 978-80-214-5679-2.

KAROLYI, Matěj, Martin KOMENDA, Radka JANOUŠOVÁ, Martin VÍTA a Daniel SCHWARZ. Finding overlapping terms in medical and health care curriculum using text mining methods: rehabilitation representation – a proof of concept. MEFANET Journal. Brno: Facta Medica, 2017. ISSN 1805-9163.

KOMENDA, Martin, Matěj KAROLYI, Andrea POKORNÁ, Martin VÍTA a Vincent KRÍŽ. Automatic Keyword Extraction from Medical and Healthcare Curriculum. In Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki. Annals of Computer Science and Information Systems, Volume 8 : Proceedings of the 2016 Federated Conference on Computer Science and Information Systems. Warzaw; Los Alamitos: Polskie Towarzystwo Informatyczne; Institute of Electrical and Electronics Engineers, 2016, s. 287-290. ISBN 978-83-60810-90-3. Dostupné z: https://dx.doi.org/10.15439/2016F156.

VÍTA, Martin a Vincent KRÍŽ. Word2vec Based System for Recognizing Partial Textual Entailment. Online. In Ganzha, M Maciaszek, L Paprzycki, M. PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS). NEW YORK: IEEE, 2016, s. 513-516. ISBN 978-83-60810-90-3. Dostupné z: https://dx.doi.org/10.15439/2016F419.

KOMENDA, Martin, Martin VÍTA, Matěj KAROLYI, Vincent KRÍŽ a Andrea POKORNÁ. Word2vec in practice: A similarity analysis of medical and healthcare disciplines. 2016.

VÍTA, Martin. A short note on t-filters, I-filters and extended filters on residuated lattices. Fuzzy Sets and Systems. Elsevier, 2015, roč. 271, č. 1, s. 168-171. ISSN 0165-0114. Dostupné z: https://dx.doi.org/10.1016/j.fss.2014.10.032.

KOMENDA, Martin, Martin VÍTA, Christos VAITSIS, Daniel SCHWARZ, Andrea POKORNÁ, Nabil ZARY a Ladislav DUŠEK. Curriculum Mapping with Academic Analytics in Medical and Healthcare Education. Plos One. San Francisco: Public Library Science, 2015, roč. 10, č. 12, s. 1-18. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0143748.

VÍTA, Martin. Discovering communities of similar R&D projects. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS. Lisbon; Portugal: SciTePress, 2015, s. 460-465. ISBN 978-989-758-158-8. Dostupné z: https://dx.doi.org/10.5220/0005663004600465.

VÍTA, Martin, Martin KOMENDA a Andrea POKORNÁ. Exploring Medical Curricula Using Social Network Analysis Methods. Online. In Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki. Proceedings of the 2015 Federated Conference on Computer Science and Information Systems. Warsaw, Los Alamitos: Polskie Towarzystwo Informatyczne, IEEE, 2015, s. 297-302. ISBN 978-83-60810-66-8. Dostupné z: https://dx.doi.org/10.15439/2015F312.

KUBALÍK, Jiří, Jaroslav POKORNÝ, Martin VÍTA a Peter VOJTÁŠ. Generic Private Social Network for Knowledge Management. In Web Information Systems Engineering – WISE 2014 Workshops, LNCS 9051. Thessaloniki, Greece: Springer, 2015, s. 27-41. ISBN 978-3-319-20369-0. Dostupné z: https://dx.doi.org/10.1007/978-3-319-20370-6_3.

TRIGO, Luis, Martin VÍTA, Rui SARMENTO a Pavel BRÁZDIL. Retrieval, visualization and validation of affinities between documents. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS. Lisbon; Portugal: SciTePress, 2015, s. 452-459. ISBN 978-989-758-158-8. Dostupné z: https://dx.doi.org/10.5220/0005662904520459.

VÍTA, Martin. Fuzzy t-filters and their properties. Fuzzy Sets and Systems. AMSTERDAM: ELSEVIER SCIENCE BV, 2014, roč. 247, č. 1, s. 127-134. ISSN 0165-0114. Dostupné z: https://dx.doi.org/10.1016/j.fss.2013.11.002.

VÍTA, Martin. Why are papers about filters on residuated structures (usually) trivial? INFORMATION SCIENCES. NEW YORK, NY 10010-1710 USA: ELSEVIER SCIENCE INC, 2014, roč. 276, č. 1, s. 387-391. ISSN 0020-0255. Dostupné z: https://dx.doi.org/10.1016/j.ins.2014.01.013.