Publication Records

NOVOTNÝ, Vít and 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, p. 104-118. ISSN 1613-0073.

MANSOURI, Behrooz, Vít NOVOTNÝ, Anurag AGARWAL, Douglas W. OARD and 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, p. 1-27. ISSN 1613-0073.

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK, Martin GELETKA, Petr ZELINA and 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, p. 82-106. ISSN 1613-0073.

LUPTÁK, Dávid, Vít NOVOTNÝ, Michal ŠTEFÁNIK and 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, p. 159-164. ISBN 978-3-030-81096-2. Available from: https://dx.doi.org/10.1007/978-3-030-81097-9_13.

NOVOTNÝ, Vít, Petr SOJKA, Michal ŠTEFÁNIK and 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, vol. 2020, No 2696, p. 93-122. ISSN 1613-0073.

SOJKA, Petr, Vít NOVOTNÝ, Eniafe Festus AYETIRAN, Dávid LUPTÁK and 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, p. 117-128. ISBN 978-80-263-1517-9.

SOJKA, Petr, Michal RŮŽIČKA and 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, p. 1923-1926. ISBN 978-1-4503-6014-2. Available from: https://dx.doi.org/10.1145/3269206.3269233.