Výpis publikací

HORÁK, Aleš, Radoslav SABOL, Ondřej HERMAN a Vít BAISA. Recognition of Propaganda Techniques in Newspaper Texts: Fusion of Content and Style Analysis. Expert Systems with Applications. Elsevier, 2024. ISSN 0957-4174. Dostupné z: https://dx.doi.org/10.1016/j.eswa.2024.124085.

SABOL, Radoslav a Aleš HORÁK. Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023. Brno: Tribun EU, 2023, s. 67-77. ISBN 978-80-263-1793-7.

MEDVEĎ, Marek, Aleš HORÁK a Radoslav SABOL. Comparing RNN and Transformer Context Representations in the Czech Answer Selection Task. Online. In Ana Paula Rocha, Luc Steels, Jaap van den Herik. Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART). Portugal: SCITEPRESS, 2022, s. 388-394. ISBN 978-989-758-547-0. Dostupné z: https://dx.doi.org/10.5220/0000155600003116.

SABOL, Radoslav a Aleš HORÁK. Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Brno: Tribun EU, 2022, s. 189-197. ISBN 978-80-263-1752-4.

SABOL, Radoslav a Aleš HORÁK. New Language Identification and Sentiment Analysis Modules for Social Media Communication. Online. In International Conference on Text, Speech, and Dialogue. Cham: Springer, 2022, s. 89-101. ISBN 978-3-031-16269-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-16270-1_8.

MEDVEĎ, Marek, Radoslav SABOL a Aleš HORÁK. Evaluating Long Contexts in the Czech Answer Selection Task. In Horák, Rychlý, Rambousek. Recent Advances in Slavonic Natural Language Processing (RASLAN 2021). Brno: Tribun EU, 2021, s. 61-69. ISBN 978-80-263-1670-1.

MEDVEĎ, Marek, Radoslav SABOL a Aleš HORÁK. Efficient Management and Optimization of Very Large Machine Learning Dataset for Question Answering. In Aleš Horák. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU, 2020, s. 23-34. ISBN 978-80-263-1600-8.

MEDVEĎ, Marek, Aleš HORÁK a Radoslav SABOL. Employing Sentence Context in Czech Answer Selection. In Sojka P., Kopeček I., Pala K., Horák A. Text, Speech, and Dialogue. TSD 2020. Switzerland: Springer, Cham, 2020, s. 112-121. ISBN 978-3-030-58322-4. Dostupné z: https://dx.doi.org/10.1007/978-3-030-58323-1_12.

MEDVEĎ, Marek, Aleš HORÁK a Radoslav SABOL. Improving RNN-based Answer Selection for Morphologically Rich Languages. Online. In Ana Rocha, Luc Steels, Jaap van den Herik. Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Portugal: SCITEPRESS, 2020, s. 644-651. ISBN 978-989-758-395-7. Dostupné z: https://dx.doi.org/10.5220/0008979206440651.

SABOL, Radoslav, Marek MEDVEĎ a Aleš HORÁK. Czech Question Answering with Extended SQAD v3.0 Benchmark Dataset. In Horák, Aleš and Rychlý, Pavel and Rambousek, Adam. Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2019. Brno: Tribun EU, 2019, s. 99-108. ISBN 978-80-263-1530-8.

SABOL, Radoslav, Marek MEDVEĎ a Aleš HORÁK. Recurrent Networks in AQA Answer Selection. In Aleš Horák, Pavel Rychlý and Adam Rambousek. Proceedings of the Twelfth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2018. Brno: Tribun EU, 2018, s. 53-62. ISBN 978-80-263-1517-9.