In this study, we propose a cross-lingual text detoxification model, named GCTP, utilizing Google Cloud Translation and post-processing for the PAN@CLEF 2024 ...
Multilingual text detoxification is a natural language processing downstream task that inputs toxic sentences, and then outputs a neutral version that preserves ...
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Thus, in this shared task, we aim to obtain text detoxification models for 9 languages: English, Spanish, German, Chinese, Arabic, Hindi,. Ukrainian, Russian, ...
Mar 12, 2024 · We denote this task as text detoxification. In this competition, we suggest you create detoxification systems for 9 languages from several ...
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Zhongyu Luo, Man Luo, Aiguo Wang: Multilingual Text Detoxification Using Google Cloud Translation and Post-Processing. CLEF (Working Notes) 2024: 2769-2774 ...
Multilingual Text Detoxification Using Google Cloud Translation and Post-Processing · Overview of the Multilingual Text Detoxification Task at PAN 2024.
This paper focuses on text detoxification, i.e., automatically converting toxic text into nontoxic text, and presents three approaches: knowledge transfer ...
Google Cloud Translation helps both individuals and organizations translate a variety of file types in real-time, with best-in-class AI.
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Oct 10, 2023 · Second, the new Multilingual Text Detoxification task asks to, given a toxic piece of text, re-write it in a non-toxic way while saving the main ...
In this dissertation, we investigate how to use Natural Language Processing techniques for text detoxification in two directions. 1) for pre-existing toxic ...