Multilingual text classification
14 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Multilingual text classification
Belebele
MultiEURLEX
Most implemented papers
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification
xiaoleihuang/domainfairness
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NAACL 2022
Existing approaches to mitigate demographic biases evaluate on monolingual data, however, multilingual data has not been examined.
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition
fdschmidt93/SLICER
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Proceedings of the Conference on Empirical Methods in Natural Language Processing 2022
Large multilingual language models generally demonstrate impressive results in zero-shot cross-lingual transfer, yet often fail to successfully transfer to low-resource languages, even for token-level prediction tasks like named entity recognition (NER).
Exploring Multilingual Text Data Distillation
harshp1802/text-dataset-distillation
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In the paper, we propose several data distillation techniques for multilingual text classification datasets using language-model-based learning methods.
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
gatenlp/peft_fft_multilingual
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Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tuning techniques designed to make the training of language models more efficient.
