Výpis publikací

NOVOTNÝ, Vít a Michal ŠTEFÁNIK. Combining Sparse and Dense Information Retrieval: Soft Vector Space Model and MathBERTa at ARQMath-3 Task 1 (Answer Retrieval). Online. In Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Martin Potthast. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum. Bologna: CEUR-WS, 2022, s. 104-118. ISSN 1613-0073.

MANSOURI, Behrooz, Vít NOVOTNÝ, Anurag AGARWAL, Douglas W. OARD a Richard ZANIBBI. Overview of ARQMath-3 (2022): Third CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version). Online. In Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Martin Potthast. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum. Bologna: CEUR-WS, 2022, s. 1-27. ISSN 1613-0073.

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK, Martin GELETKA, Petr ZELINA a Petr SOJKA. Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. Online. In CEUR Workshop Proceedings, Volume 2936: 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021. Bucharest, Romania: CEUR-WS, 2021, s. 82-106. ISSN 1613-0073.

LUPTÁK, Dávid, Vít NOVOTNÝ, Michal ŠTEFÁNIK a Petr SOJKA. WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code. In Fairouz Kamareddine and Claudio Sacerdotti-Coen. Intelligent Computer Mathematics: 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021, Proceedings. LNAI 12833. Timisoara, Romania: Springer, 2021, s. 159-164. ISBN 978-3-030-81096-2. Dostupné z: https://dx.doi.org/10.1007/978-3-030-81097-9_13.

NOVOTNÝ, Vít, Petr SOJKA, Michal ŠTEFÁNIK a Dávid LUPTÁK. Three is Better than One: Ensembling Math Information Retrieval Systems. CEUR Workshop Proceedings. Thessaloniki, Greece: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., 2020, roč. 2020, č. 2696, s. 93-122. ISSN 1613-0073.

SOJKA, Petr, Vít NOVOTNÝ, Eniafe Festus AYETIRAN, Dávid LUPTÁK a Michal ŠTEFÁNIK. Quo Vadis, Math Information Retrieval. In Aleš Horák and Pavel Rychlý and Adam Rambousek. Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019. Brno: Tribun EU, 2019, s. 117-128. ISBN 978-80-263-1517-9.

SOJKA, Petr, Michal RŮŽIČKA a Vít NOVOTNÝ. MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. Online. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18). Torino, Italy: Association for Computing Machinery, 2018, s. 1923-1926. ISBN 978-1-4503-6014-2. Dostupné z: https://dx.doi.org/10.1145/3269206.3269233.