/RobustArgumentMining-LREC-COLING-2024

Code and data for the experiments reported in the paper titled "Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain", to appear in LREC-COLING2024 Proceedings.

Primary LanguagePythonOtherNOASSERTION

RobustArgumentMining-LREC-COLING-2024

CC BY-NC-SA 4.0

Code and data for the experiments reported in the paper titled "Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain", to appear in LREC-COLING2024 Proceedings.

@inproceedings{ruiz-dolz-2024-robust,
    title = "Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain",
    author = "Ruiz-Dolz, Ramon and
      Chiu, Chr-Jr and
      Chen, Chung-Chi and
      Kando, Noriko and
      Chen, Hsin-Hsi"
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation",
    year = "2024",
    address = "Torino",
    publisher = "Language Resources Association"
}

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

CC BY-NC-SA 4.0