Rachel Rosen

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel Rosen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zeerak Talat
  2. Lucas Dixon

Papers from Rachel Rosen's perspective

Ordered by how strongly the researchers Rachel Rosen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Measuring and Mitigating Unintended Bias in Text Classification
  3. Ex Machina: Personal Attacks Seen at Scale
  4. Locate the Hate: Detecting Tweets against Blacks
  5. The Risk of Racial Bias in Hate Speech Detection
  6. Deceiving Google's Perspective API Built for Detecting Toxic Comments
  7. Datasheets for datasets
  8. Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
  9. Conversations Gone Awry: Detecting Early Signs of Conversational Failure
  10. Re-imagining Algorithmic Fairness in India and Beyond

Their papers