Papers with language and task

2 papers
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer (2022.acl-short)

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Challenge: Text style transfer is a text generation task where a given sentence must be rewritten changing its style while preserving its meaning.
Approach: They propose a modular approach for multilingual formality transfer using machine translated data and gold aligned English sentences.
Outcome: The proposed approach achieves competitive performance without monolingual task-specific parallel data and can be applied to other style transfer tasks as well as to other languages.
Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition (2021.findings-acl)

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Challenge: Named entity recognition (NER) is one of the fundamental tasks in natural language processing.
Approach: They propose four practical guidelines to guide knowledge transfer and task finetuning . they propose a framework to exploit data from three aspects in a unified training manner .
Outcome: The proposed framework improves on six benchmarks and shows that it is state-of-the-art in five languages.

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