Leendert van Maanen

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Information Systems — 6 citations into it

Whom Leendert van Maanen trusts overall

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

1. Sunipa Dev
2. Su Lin Blodgett

Papers from Leendert van Maanen's perspective

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

1. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
2. Semantics derived automatically from language corpora contain human-like biases
3. Gender Bias in Coreference Resolution
4. Attention is All you Need (Neural Information Processing Systems)
5. Language (Technology) is Power: A Critical Survey of “Bias” in NLP
6. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
7. StereoSet: Measuring stereotypical bias in pretrained language models
8. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
9. On Measuring Social Biases in Sentence Encoders
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Undesirable biases in NLP: Averting a crisis of measurement (2022) — 8 citations