Emily Ahn

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Emily Ahn trusts overall

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

  1. D. W. Sue
  2. Akshita Jha
  3. David M. Blei
  4. Thomas Davidson

Who trusts Emily Ahn overall

  1. Svetlana Kiritchenko
  2. Maarten Sap
  3. Ashutosh Baheti
  4. Bertie Vidgen

Papers from Emily Ahn's perspective

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

  1. Latent Dirichlet Allocation
  2. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  3. Automated Hate Speech Detection and the Problem of Offensive Language
  4. A Survey on Hate Speech Detection using Natural Language Processing
  5. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
  6. Racial microaggressions in everyday life: implications for clinical practice.
  7. A Survey on Automatic Detection of Hate Speech in Text
  8. Understanding Abuse: A Typology of Abusive Language Detection Subtasks
  9. Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community
  10. Challenges for Toxic Comment Classification: An In-Depth Error Analysis

Their papers