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Applying Multilingual and Monolingual Transformer-Based Models for Dialect Identification
We study the ability of large fine-tuned transformer models to solve a binary classification task of dialect identification, with a special interest in comparing the performance of multilingual to monolingual ones.
BART-TL: Weakly-Supervised Topic Label Generation
We propose a novel solution for assigning labels to topic models by using multiple weak labelers.
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