A New Generation of Perspective API: Efficient Multilingual Character-level Transformers-Reference-Cited by-同舟云学术

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Lees Alyssa¹,Tran Vinh Q.²,Tay Yi³,Sorensen Jeffrey¹,Gupta Jai⁴,Metzler Donald⁴,Vasserman Lucy¹

Affiliation:

1. Jigsaw, New York, NY, USA

2. Google Research, New York, NY, USA

3. Google Research, Singapore, Singapore

4. Google Research, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539147

Reference36 articles.

1. Tin Acosta Alyssa Lees Daniel Borkan Jeffrey Sorensen Alyssa Chvasta Roelle Thorpe and Lucy Vasserman. 2021. 10 New Languages for Perspective API. https://medium.com/jigsaw/10-new-languages-for-perspective-api-8cb0ad599d7c Tin Acosta Alyssa Lees Daniel Borkan Jeffrey Sorensen Alyssa Chvasta Roelle Thorpe and Lucy Vasserman. 2021. 10 New Languages for Perspective API. https://medium.com/jigsaw/10-new-languages-for-perspective-api-8cb0ad599d7c

2. Azalden Alakrot , Liam Murray , and Nikola S Nikolov . 2018. Towards accurate detection of offensive language in online communication in arabic. Procedia computer science 142 ( 2018 ), 315--320. Azalden Alakrot, Liam Murray, and Nikola S Nikolov. 2018. Towards accurate detection of offensive language in online communication in arabic. Procedia computer science 142 (2018), 315--320.

3. Francesco Barbieri , Jose Camacho-Collados , Luis Espinosa Anke , and Leonardo Neves . 2020 . TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Association for Computational Linguistics, Online, 1644--1650. https://doi.org/10. 18653/v1/2020.findings-emnlp. 148 Francesco Barbieri, Jose Camacho-Collados, Luis Espinosa Anke, and Leonardo Neves. 2020. TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. In Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, Online, 1644--1650. https://doi.org/10.18653/v1/2020.findings-emnlp.148

4. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

5. Daniel Borkan , Lucas Dixon , Jeffrey Sorensen , Nithum Thain , and Lucy Vasserman . 2019 . Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. In Companion Proceedings of The 2019 World Wide Web Conference (WWW '19) . Association for Computing Machinery, New York, NY, USA, 491--500. https://doi.org/10.1145/3308560.3317593 Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2019. Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. In Companion Proceedings of The 2019 World Wide Web Conference (WWW '19). Association for Computing Machinery, New York, NY, USA, 491--500. https://doi.org/10.1145/3308560.3317593

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