| European union language resources in sketch engine V Baisa, J Michelfeit, M Medveď, M Jakubíček Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 62 | 2016 |
| Recognition of OCR invoice metadata block types HT Ha, M Medved’, Z Nevěřilová, A Horák Text, Speech, and Dialogue: 21st International Conference, TSD 2018, Brno …, 2018 | 24 | 2018 |
| Sentence and Word Embedding Employed in Open Question-Answering. M Medved, A Horák ICAART (2), 486-492, 2018 | 18 | 2018 |
| AQA: automatic question answering system for Czech M Medved’, A Horák Text, Speech, and Dialogue: 19th International Conference, TSD 2016, Brno …, 2016 | 14 | 2016 |
| SQAD: Simple Question Answering Database. M Medved, A Horák RASLAN, 121-128, 2014 | 12 | 2014 |
| Czech question answering with extended SQAD v3. 0 benchmark dataset R Sabol, M Medveď, A Horák Tribun EU, 2019 | 11 | 2019 |
| English-french document alignment based on keywords and statistical translation M Medveď, M Jakubíček, V Kovář Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 9 | 2016 |
| Exploring the Capabilities of ChatGPT for Lexicographical Purposes: A Comparison with Oxford Advanced Learner’s Dictionary within the Microstructural Framework M Phoodai, R Rikk, M Medveď, M Měchura, I Kosem, J Kallas, C Tiberius, ... Proceedings of the eLex 2023 Conference: Electronic Lexicography in the 21st …, 2023 | 7 | 2023 |
| Automating dictionary production: a Tagalog-English-Korean dictionary from scratch V Baisa, M Blahuš, M Cukr, O Herman, M Jakubíček, V Kovář, M Medveď, ... Electronic Lexicography in the 21st Century (eLex 2019): Smart Lexicography …, 2019 | 7 | 2019 |
| Improving RNN-based answer selection for morphologically rich languages M Medveď, A Horák, R Sabol SCITEPRESS, 2020 | 6 | 2020 |
| Multilinguality Adaptations of Natural Language Logical Analyzer M Medveď, T Šulganová, A Horák Proceedings of the 11th Workshop, 51-58, 2017 | 6 | 2017 |
| Enlargement of the Czech question-answering dataset to SQAD v2. 0 T Šulganová, M Medveď, A Horák Tribun EU, 2017 | 6 | 2017 |
| Adaptation of Czech parsers for Slovak M Medveď, M Jakubíček, V Kovář, V Němčík Tribun EU, 2012 | 5 | 2012 |
| Employing sentence context in Czech answer selection M Medveď, R Sabol, A Horák Text, Speech, and Dialogue: 23rd International Conference, TSD 2020, Brno …, 2020 | 4 | 2020 |
| Question and answer classification in czech question answering benchmark dataset M Medveď, A Horák, D Kušniráková SCITEPRESS, 2019 | 4 | 2019 |
| Comparing RNN and Transformer Context Representations in the Czech Answer Selection Task M Medveď, A Horák, R Sabol SCITEPRESS, 2022 | 3 | 2022 |
| Semi-automatic building of large-scale digital dictionaries M Blahuš, M Cukr, O Herman, M Jakubíček, V Kovář, M Medveď Lexical Computing CZ sro, 2021 | 2 | 2021 |
| Efficient Management and Optimization of Very Large Machine Learning Dataset for Question Answering. M Medved, R Sabol, A Horák RASLAN, 23-34, 2020 | 2 | 2020 |
| Recurrent networks in aqa answer selection R Sabol, M Medveď, A Horák Tribun EU, 2018 | 2 | 2018 |
| Increasing coverage of translation memories with linguistically motivated segment combination methods V Baisa, A Horák, M Medveď Proceedings of the Workshop Natural Language Processing for Translation …, 2015 | 2 | 2015 |
Aleš HorákNLP Centre, Faculty of Informatics, Masaryk UniversityVerified email at fi.muni.cz
