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Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil

arXiv 2204.09675 ↗First posted 19 Apr 2022cs.CLcited by 0

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Abstract (arXiv)

This paper tries to address the problem of abusive comment detection in low-resource indic languages. Abusive comments are statements that are offensive to a person or a group of people. These comments are targeted toward individuals belonging to specific ethnicities, genders, caste, race, sexuality, etc. Abusive Comment Detection is a significant problem, especially with the recent rise in social media users. This paper presents the approach used by our team - Optimize_Prime, in the ACL 2022 shared task "Abusive Comment Detection in Tamil." This task detects and classifies YouTube comments in Tamil and Tamil- English Codemixed format into multiple categories. We have used three methods to optimize our results: Ensemble models, Recurrent Neural Networks, and Transformers. In the Tamil data, MuRIL and XLM-RoBERTA were our best performing models with a macro-averaged f1 score of 0.43. Furthermore, for the Code-mixed data, MuRIL and M-BERT provided sub-lime results, with a macro-averaged f1 score of 0.45.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 21 references that are in the map. First posted on arXiv 19 Apr 2022.

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References · 12

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  4. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  5. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  6. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,772
  7. 2019HuggingFace's Transformers: State-of-the-art Natural Language Processingcited by 2,201
  8. 2020fastai: A Layered API for Deep Learningcited by 183
  9. 2021MuRIL: Multilingual Representations for Indian Languagescited by 177
  10. 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
  11. 2018An Analysis of Neural Language Modeling at Multiple Scalescited by 31
  12. 2020Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detectioncited by 5

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