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Exploring Different Approaches for Multilingual Tasks

CASE@ACL-IJCNLP-2021 Shared Task Paper
Authors

This paper for the workshop Shared Task was accepted to the [CASE-2021 workshop](https://emw.ku.edu.tr/case-2021/ at ACL-IJCNLP-2021 in Bangkok, Thailand (held online).

Abstract

The aim of the CASE 2021 Shared Task 1 (Hürriyetoğlu et al., 2021) was to detect and classify socio-political and crisis event information at document, sentence, cross-sentence, and token levels in a multilingual setting, with each of these subtasks being evaluated separately in each test language. Our submission contained entries in all of the subtasks, and the scores obtained validated our research finding: That the multilingual aspect of the tasks should be embraced, so that modeling and training regimes use the multilingual nature of the tasks to their mutual benefit, rather than trying to tackle the different languages separately.

And the ACL BiBTeX entry:

@inproceedings{vivek-kalyan-etal-2021-shared,
    title = "Shared Task 1 System Description : Exploring different approaches for multilingual tasks",
    author = "Vivek Kalyan, Sureshkumar  and
      Paul, Tan  and
      Shaun, Tan  and
      Andrews, Martin",
    booktitle = "Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.case-1.12",
    doi = "10.18653/v1/2021.case-1.12",
    pages = "92--97",
}
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