Nov. 8, 2022, 2:16 a.m. | Adam Nik, Ge Zhang, Xingran Chen, Mingyu Li, Jie Fu

cs.CL updates on arXiv.org arxiv.org

This paper details our participation in the Challenges and Applications of
Automated Extraction of Socio-political Events from Text (CASE) workshop @
EMNLP 2022, where we take part in Subtask 1 of Shared Task 3. We approach the
given task of event causality detection by proposing a self-training pipeline
that follows a teacher-student classifier method. More specifically, we
initially train a teacher model on the true, original task data, and use that
teacher model to self-label data to be used in …

arxiv causality classification data event news self-training training

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