Machines Do See Color: A Guideline to Classify Different Forms of Racist Discourse in Large Corpora

Documenti analoghi

• Memory Is All You Need: Testing How Model Memory Affects LLM Performance in Annotation Tasks
  di: Timoneda, Joan C., et al.
  Pubblicazione: (2025)
• Bias in LLMs as Annotators: The Effect of Party Cues on Labelling Decision by Large Language Models
  di: Vera, Sebastian Vallejo, et al.
  Pubblicazione: (2024)
• The Synthetic Imputation Approach: Generating Optimal Synthetic Texts For Underrepresented Categories In Supervised Classification Tasks
  di: Timoneda, Joan C.
  Pubblicazione: (2025)
• Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review
  di: Raja, Rahul, et al.
  Pubblicazione: (2025)
• Unsupervised Location Mapping for Narrative Corpora
  di: Wagner, Eitan, et al.
  Pubblicazione: (2025)