Elamur Research⌕
☰
home / papers / A Just and Comprehensive Strategy for Using NLP… / cited by

Who cites «A Just and Comprehensive Strategy for Using NLP to Address Online Abuse»

68 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← the paper

  1. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
  2. HateBERT: Retraining BERT for Abusive Language Detection in EnglishTommaso Caselli, Valerio Basile, Jelena Mitrović, et al.2021 · 481 citations
  3. Social Biases in NLP Models as Barriers for Persons with DisabilitiesBen Hutchinson, Vinodkumar Prabhakaran, Emily Denton, et al.2020 · 404 citations
  4. Latent Hatred: A Benchmark for Understanding Implicit Hate SpeechMai ElSherief, Caleb Ziems, David Muchlinski, et al.2021 · 365 citations
  5. Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media PostsLuke Breitfeller, Emily Ahn, David Jurgens, et al.2019 · 188 citations
  6. I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive LanguageTommaso Caselli, Valerio Basile, Jelena Mitrović, et al.2020 · 159 citations
  7. Introducing CAD: the Contextual Abuse DatasetBertie Vidgen, Dong Nguyen, Helen Margetts, et al.2021 · 147 citations

61 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/jurgens-2019-just-comprehensive-strategy-nlp-address/cited-by/