0562585 - ÚI 2024 RIV SG eng C - Konferenční příspěvek (zahraniční konf.)
Mushtaq, U. - Cabessa, JérémieArgument Classification with BERT plus Contextual, Structural and Syntactic Features as Text.
Neural Information Processing. 29th International Conference, ICONIP 2022, Proceedings, Part VII. Singapore: Springer, 2023 - (Tanveer, M.; Agarwal, A.; Ozawa, S.; Ekbal, A.; Jatowt, A.), s. 622-633. Communications in Computer and Information Science, 1794. ISBN 978-981991647-4. ISSN 1865-0929.
[ICONIP 2022: The International Conference on Neural Information Processing /29./. Indore / Virtual (IN), 22.11.2022-26.11.2022]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Argument Mining * BERT * Features as Text * NLP * Prompting * Text Classification
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-981-99-1639-9_52
Trvalý link: https://hdl.handle.net/11104/0334888
