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
Latest papers
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.
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.
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).
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.
Practical Transformer-based Multilingual Text Classification
Transformer-based methods are appealing for multilingual text classification, but common research benchmarks like XNLI (Conneau et al., 2018) do not reflect the data availability and task variety of industry applications.
NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
eftekhar-hossain/CUET_NLP-EACL_2021
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EACL (DravidianLangTech) 2021
In the task, datasets provided in three languages including Tamil, Malayalam and Kannada code-mixed with English where participants are asked to implement separate models for each language.
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
eftekhar-hossain/CUET_NLP-EACL_2021
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EACL (LTEDI) 2021
We propose three distinct models to identify hope speech in English, Tamil and Malayalam language to serve this purpose.
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification
We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model.
The Multilingual Amazon Reviews Corpus
mojave-pku/uniprompt
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EMNLP 2020
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification.
A Multi-cascaded Deep Model for Bilingual SMS Classification
Our model achieves high accuracy for classification on this dataset and outperforms the previous model for multilingual text classification, highlighting language independence of McM.
