Steven Bedrick
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #24,315 of 35,345 by trust here, #27,551 by citations
- Evaluation & Benchmarks — 11 citations into it; #2,186 of 3,147 by trust here, #2,799 by citations
- Natural Language Processing — 7 citations into it
Whom Steven Bedrick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Christopher D. Manning
- Thorsten Brants
- Ron Artstein
- Laurence S. Gillick
- Jesús Giménez
- Ralph M. Weischedel
- Ali El-Kahky
- Mitchell P. Marcus
- Daniel Zeman
Who trusts Steven Bedrick overall
Papers from Steven Bedrick's perspective
Ordered by how strongly the researchers Steven Bedrick trusts endorse each paper. Same corpus, a different order for every researcher.
- Building a Large Annotated Corpus of English: The Penn Treebank
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- We Need to Talk about Standard Splits (2019) — 130 citations
- TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19 (2020) — 130 citations
- TREC-COVID (2020) — 94 citations
- Overview of the TREC 2020 Precision Medicine Track (2017) — 49 citations