Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification
원문 초록
Text detoxification is the task of transferring the style of text from toxic to neutral. While here are approaches yielding promising results in monolingual setup, e.g., (Dale et al., 2021; Hallinan et al., 2022), cross-lingual transfer for this task remains a challenging open problem (Moskovskiy et al., 2022). In this work, we present a large-scale study of strategies for cross-lingual text detoxification -- given a parallel detoxification corpus for one language; the goal is to transfer detoxification ability to another language for which we do not have such a corpus. Moreover, we are the first to explore a new task where text translation and detoxification are performed simultaneously, providing several strong baselines for this task. Finally, we introduce new automatic detoxification evaluation metrics with higher correlations with human judgments than previous benchmarks. We assess the most promising approaches also with manual markup, determining the answer for the best strategy to transfer the knowledge of text detoxification between languages.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Multilingual and Explainable Text Detoxification with Parallel Corpora
Style-Specific Neurons for Steering LLMs in Text Style Transfer
WAS: Dataset and Methods for Artistic Text Segmentation
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping
Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?
토론
이 논문과 연결된 포럼 글이 아직 없습니다.