Ing.

Martin Dočekal

Ph.D. student

+420 54114 1422
idocekal@fit.vut.cz
L230.2 Office
174973/BUT personal ID

Publications

  • 2022

    DOČEKAL Martin and SMRŽ Pavel. Query-Based Keyphrase Extraction from Long Documents. In: The International FLAIRS Conference Proceedings. 2022, vol. 2022. Jensen Beach: LibraryPress@UF, 2022, pp. 1-4. ISSN 2334-0762.
    Detail

  • 2021

    MIN Sewon, FAJČÍK Martin, DOČEKAL Martin, ONDŘEJ Karel and SMRŽ Pavel et al. NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. In: Proceedings of the NeurIPS 2020 Competition and Demonstration Track. Proceedings of Machine Learning Research, vol. 133. online: Proceedings of Machine Learning Research, 2021, pp. 86-111. ISSN 2640-3498.
    Detail

    FAJČÍK Martin, DOČEKAL Martin, ONDŘEJ Karel and SMRŽ Pavel et al. R2-D2: A Modular Baseline for Open-Domain Question Answering. In: Findings of the Association for Computational Linguistics: EMNLP 2021. Findings of the Association for Computational Linguistics. Punta Cana: Association for Computational Linguistics, 2021, pp. 854-870. ISBN 978-1-955917-10-0.
    Detail

  • 2020

    JON Josef, FAJČÍK Martin, DOČEKAL Martin and SMRŽ Pavel. BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense. In: Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona: Association for Computational Linguistics, 2020, pp. 374-390. ISBN 978-1-952148-31-6.
    Detail

    FAJČÍK Martin, DOČEKAL Martin, JON Josef and SMRŽ Pavel. BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models. In: Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, 2020, pp. 437-444. ISBN 978-1-952148-31-6.
    Detail

    DOČEKAL Martin, FAJČÍK Martin, JON Josef and SMRŽ Pavel. JokeMeter at SemEval-2020 Task 7: Convolutional Humor. In: Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020. Barcelona (online): Association for Computational Linguistics, 2020, pp. 843-851. ISBN 978-1-952148-31-6.
    Detail

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