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. Implementation Notes for the Soft Cosine Measure. Online. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18). Torino, Italy: Association for Computing Machinery, 2018, p. 1639-1642. ISBN 978-1-4503-6014-2. Available from: https://dx.doi.org/10.1145/3269206.3269317.

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.

HROZA, Jiří and Jan ŽIŽKA. Mining Relevant Text Documents Using Ranking-Based k-NN Algorithms Trained by Only Positive Examples. In Znalosti 2005, sborník příspěvků. 1st ed. Ostrava: VŠB--Technická univerzita Ostrava, 2005, p. 29-40. ISBN 80-248-0755-6.

HROZA, Jiří and Jan ŽIŽKA. Selecting Interesting Articles Using Their Similarity Based Only on Positive Examples. In Computational linguistics and Intelligent Text Processing. Germany: Springer-Verlag Berlin Heidelberg, 2005, p. 608-611. ISBN 3-540-24523-5.