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Machine Learning for Detecting Hate Speech in Low Resource Languages
(2020-07-08)
This work examines the role of both cross-lingual zero-shot learning and data augmentation
in detecting hate speech online for low resource set-ups. The proposed
solutions for situations where the amount of labeled data ...
Approximating Reasoning with Transformer Language Models
(2023-10-19)
We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability ...