The Shared Task on Gender Rewriting
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Abstract (arXiv)
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop. The task of gender rewriting refers to generating alternatives of a given sentence to match different target user gender contexts (e.g., female speaker with a male listener, a male speaker with a male listener, etc.). This requires changing the grammatical gender (masculine or feminine) of certain words referring to the users. In this task, we focus on Arabic, a gender-marking morphologically rich language. A total of five teams from four countries participated in the shared task.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 21 of its 37 references that are in the map. First posted on arXiv 22 Oct 2022.
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References · 21
- 2017Attention Is All You Needcited by 59,932
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2018A Call for Clarity in Reporting BLEU Scorescited by 1,790
- 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddingscited by 1,304
- 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 951
- 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
- 2019Mitigating Gender Bias in Natural Language Processing: Literature Reviewcited by 287
- 2018Gender Bias in Neural Natural Language Processingcited by 210
- 2019Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphologycited by 200
- 2018Learning Gender-Neutral Word Embeddingscited by 169
- 2019Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddingscited by 146
- 2021The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Modelscited by 118
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- 2021Scale Efficiently: Insights from Pre-training and Fine-tuning Transformerscited by 105
- 2019It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitutioncited by 102
- 2017JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correctioncited by 96
- 2021AraT5: Text-to-Text Transformers for Arabic Language Generationcited by 63
- 2020Gender Bias in Multilingual Embeddings and Cross-Lingual Transfercited by 55
- 2020NADI 2020: The First Nuanced Arabic Dialect Identification Shared Taskcited by 47
- 2021NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Taskcited by 32
- 2021The Arabic Parallel Gender Corpus 2.0: Extensions and Analysescited by 12
- 2022User-Centric Gender Rewritingcited by 7
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