Lev-Arie Ratinov
Natural Language Processing · 2007–2018
A researcher in the Science corpus: 8 papers; trusts 123 researchers and is trusted by 460 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 72 citations into it; #181 of 5,688 by trust here, #480 by citations
- Artificial Intelligence — 64 citations into it; #1,980 of 35,345 by trust here, #7,657 by citations
- Information Extraction — 14 citations into it
- Representation & Self-Supervised Learning — 14 citations into it; #201 of 3,145 by trust here, #390 by citations
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 8 citations into it; #1,258 of 2,278 by trust here, #1,940 by citations
- Information Systems — 6 citations into it
- Molecular Biology — 6 citations into it
Whom Lev-Arie Ratinov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Dan Roth
- Percy Liang
- David N. Milne
- Lawrence R. Rabiner
- Yoshua Bengio
- Geoffrey E. Hinton
- Andrew McCallum
- Thorsten Joachims
- Michael Strube
Who trusts Lev-Arie Ratinov overall
- Greg Durrett
- Richard Socher
- Mohit Bansal
- Dan Roth
- Christopher D. Manning
- Yoshua Bengio
- Andrew McCallum
- Jie Yang
- Avirup Sil
- Daniel Klein
Papers from Lev-Arie Ratinov's perspective
Ordered by how strongly the researchers Lev-Arie Ratinov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Design Challenges and Misconceptions in Named Entity Recognition (2009) — 1,631 citations
- CogCompNLP: Your Swiss Army Knife for NLP (2018) — 29 citations
- Structured learning with constrained conditional models (2012) — 140 citations
- Learning-based Multi-Sieve Co-reference Resolution with Knowledge (2012) — 67 citations
- Local and Global Algorithms for Disambiguation to Wikipedia (2011) — 755 citations
- Word Representations: A Simple and General Method for Semi-Supervised Learning (2010) — 2,346 citations
- Importance of Semantic Representation: Dataless Classification (2008) — 337 citations
- Guiding Semi-Supervision with Constraint-Driven Learning (2007) — 240 citations