TY - GEN
T1 - Towards Safer Hebrew Communication
T2 - 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, RANLP 2025
AU - Vanetik, Natalia
AU - Liberov, Lior
AU - Litvak, Marina
AU - Liebeskind, Chaya
N1 - Publisher Copyright:
© 2025 Incoma Ltd. All rights reserved.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Text detoxification is the task of transforming offensive or toxic content into a non-offensive form while preserving the original meaning. Despite increasing research interest in detoxification across various languages, no resources or benchmarks exist for Hebrew, a Semitic language with unique morphological, syntactic, and cultural characteristics. This paper introduces HeDetox, the first annotated dataset for text detoxification in Hebrew. HeDetox contains 600 sentence pairs, each consisting of an offensive source text and a non-offensive text rewritten with LLM and human intervention. We present a detailed dataset analysis and evaluation showing that the dataset benefits offensive language detection. HeDetox offers a foundational resource for Hebrew natural language processing, advancing research in offensive language mitigation and controllable text generation.
AB - Text detoxification is the task of transforming offensive or toxic content into a non-offensive form while preserving the original meaning. Despite increasing research interest in detoxification across various languages, no resources or benchmarks exist for Hebrew, a Semitic language with unique morphological, syntactic, and cultural characteristics. This paper introduces HeDetox, the first annotated dataset for text detoxification in Hebrew. HeDetox contains 600 sentence pairs, each consisting of an offensive source text and a non-offensive text rewritten with LLM and human intervention. We present a detailed dataset analysis and evaluation showing that the dataset benefits offensive language detection. HeDetox offers a foundational resource for Hebrew natural language processing, advancing research in offensive language mitigation and controllable text generation.
UR - https://www.scopus.com/pages/publications/105034196080
U2 - 10.26615/978-954-452-098-4-149
DO - 10.26615/978-954-452-098-4-149
M3 - Conference contribution
AN - SCOPUS:105034196080
T3 - International Conference Recent Advances in Natural Language Processing, RANLP
SP - 1289
EP - 1298
BT - Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, RANLP 2025
A2 - Angelova, Galia
A2 - Kunilovskaya, Maria
A2 - Escribe, Marie
A2 - Mitkov, Ruslan
PB - Incoma Ltd
Y2 - 8 September 2025 through 10 September 2025
ER -