Janet B. Pierrehumbert

Artificial Intelligence · 1992–2021

A researcher in the Science corpus: 9 papers; trusts 42 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 104 citations into it; #12,865 of 35,345 by trust here, #12,083 by citations
• Natural Language Processing — 87 citations into it; #5,162 of 5,688 by trust here, #3,478 by citations
• Evaluation & Benchmarks — 23 citations into it
• Communication — 14 citations into it
• Large Language Models — 10 citations into it; #774 of 799 by trust here, #735 by citations
• Sociology and Political Science — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• AI Ethics, Fairness & Society — 8 citations into it

Whom Janet B. Pierrehumbert trusts overall

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

1. D. L. Hintzman
2. John K. Kruschke
3. Gary F. Marcus
4. Emily M. Bender
5. Noam Chomsky
6. Jacob Devlin
7. Geoffrey E. Hinton
8. Iz Beltagy
9. Yoshua Bengio
10. Kokil Jaidka

Who trusts Janet B. Pierrehumbert overall

1. Robert F. Port
2. Joan Bybee
3. Alan C. L. Yu
4. Mark Amengual
5. Clay Beckner
6. Dennis Norris
7. Susanne Gahl
8. James M. McQueen
9. Kuniko Y. Nielsen
10. Jennifer Hay

Papers from Janet B. Pierrehumbert's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• HateCheck: Functional Tests for Hate Speech Detection Models (2020) — 368 citations
• Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media (2021) — 85 citations
• Beyond Word Frequency: Bursts, Lulls, and Scaling in the Temporal Distributions of Words (2009) — 210 citations
• The statistical basis of an unnatural alternation (2005) — 86 citations
• Similarity Avoidance and the OCP (2004) — 421 citations
• Word-specific phonetics (2001) — 634 citations
• The phonetic grounding of phonology (2000) — 49 citations
• Exemplar dynamics: Word frequency, lenition and contrast (2000) — 1,283 citations
• TOBI: a standard for labeling English prosody (1992)