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arXiv 2110.15599cs.CLcs.AI

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

Handshakes

Vivek Kalyan, Paul Tan, Shaun Tan, Martin Andrews

英文摘要:

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. Our code is available at https://github.com/HandshakesByDC/case2021/

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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