Stefanie Ullmann

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 27 citations into it
• Safety, Robustness & Interpretability — 19 citations into it

Whom Stefanie Ullmann trusts

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

1. Matt Post (in Artificial Intelligence)
2. James Kalbach (in Experimental and Cognitive Psychology)
3. Kai-Wei Chang (in Artificial Intelligence)
4. Noah A. Smith (in Artificial Intelligence)
5. Marta Ruiz Costa-jussà (in Artificial Intelligence)

Papers from Stefanie Ullmann's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
3. Gender Bias in Coreference Resolution
4. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
5. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
6. A Call for Clarity in Reporting BLEU Scores
7. Language (Technology) is Power: A Critical Survey of “Bias” in NLP
8. Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
9. Evaluating Gender Bias in Machine Translation
10. Long Short-Term Memory

Their papers

• The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing (2021) — 46 citations