Karen O'Connor

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Natural Language Processing — 11 citations into it
• Toxicology — 9 citations into it

Whom Karen O'Connor trusts overall

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

1. Alan R. Aronson
2. Alexander S. Yeh
3. Robert Leaman
4. Yoshua Bengio
5. Abeed Sarker
6. Christopher D. Manning

Papers from Karen O'Connor's perspective

Ordered by how strongly the researchers Karen O'Connor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Efficient Estimation of Word Representations in Vector Space
2. ImageNet classification with deep convolutional neural networks
3. A Neural Probabilistic Language Model
4. Natural Language Processing (Almost) from Scratch
5. Attention is All you Need (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Word Representations: A Simple and General Method for Semi-Supervised Learning
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features (2015) — 565 citations
• Utilizing Social Media Data for Pharmacovigilance: A Review (2015) — 501 citations
• ChatGPT and large language models in academia: opportunities and challenges (2023) — 514 citations