Ing.

Martin Fajčík

Ph.D. student

+420 54114 1421
ifajcik@fit.vut.cz
L230.2 Office
155923/BUT personal ID

Publications

  • 2023

    FAJČÍK Martin, MOTLÍČEK Petr and SMRŽ Pavel. Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction. In: Findings of the Association for Computational Linguistics: ACL 2023. ACL, vol. 2023. Toronto: Association for Computational Linguistics, 2023, pp. 10184-10205. ISBN 978-1-959429-62-3.
    Detail

  • 2022

    BURDISSO Sergio, FAJČÍK Martin, SMRŽ Pavel and MOTLÍČEK Petr et al. IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach. In: Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). Abu Dhabi: Association for Computational Linguistics, 2022, pp. 61-69. ISBN 978-1-959429-05-0.
    Detail

    FAJČÍK Martin, SMRŽ Pavel, MOTLÍČEK Petr and BURDISSO Sergio et al. IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model. In: Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). Abu Dhabi: Association for Computational Linguistics, 2022, pp. 70-78. ISBN 978-1-959429-05-0.
    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

    FAJČÍK Martin, JON Josef and SMRŽ Pavel. Rethinking the Objectives of Extractive Question Answering. In: Proceedings of the 3rd Workshop on Machine Reading for Question Answering. Proceedings of the 3rd Workshop on Machine Reading for Question Answering. Punta Cana: Association for Computational Linguistics, 2021, pp. 14-27. ISBN 978-1-954085-95-4.
    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

  • 2019

    FAJČÍK Martin, BURGET Lukáš and SMRŽ Pavel. BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. In: Proceedings of the 13th International Workshop on Semantic Evaluation. Minneapolis, Minnesota: Association for Computational Linguistics, 2019, pp. 1097-1104. ISBN 978-1-950737-06-2.
    Detail

  • 2017

    FAJČÍK Martin, SMRŽ Pavel and ZACHARIÁŠOVÁ Marcela. Automation of Processor Verification Using Recurrent Neural Networks. In: 18th International Workshop on Microprocessor and SOC Test, Security and Verification (MTV). Austin, Texas: Institute of Electrical and Electronics Engineers, 2017, pp. 15-20. ISBN 978-1-5386-3351-9.
    Detail

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