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Handshakes AI Research at CASE 2021 Task 1: Exploring different approaches for multilingual tasks

arXiv 2110.15599 ↗First posted 29 Oct 2021cs.CL cs.AIcited by 0

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Abstract (arXiv)

The aim of the CASE 2021 Shared Task 1 (H"urriyetouglu 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. Our code is available at https://github.com/HandshakesByDC/case2021/

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 18 references that are in the map. First posted on arXiv 29 Oct 2021.

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References · 13

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1 more
  1. 2020Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Settingcited by 8

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