Richard Johansson
Natural Language Processing · 2007–2021
A researcher in the Science corpus: 7 papers; trusts 128 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 60 citations into it; #2,890 of 5,688 by trust here, #2,695 by citations
- Artificial Intelligence — 58 citations into it; #8,324 of 35,345 by trust here, #8,365 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Evaluation & Benchmarks — 18 citations into it
- Multimodal Learning — 13 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Information Extraction — 7 citations into it
- Molecular Biology — 7 citations into it
Whom Richard Johansson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xavier Carreras
- Ryan T. McDonald
- Michael Collins
- Mitchell P. Marcus
- Hiroyasu Yamada
- Daniel Gildea
- Joakim Nivre
- Christopher D. Manning
- Collin F. Baker
- Lluís Màrquez i Villodre
Who trusts Richard Johansson overall
- Ivan Titov
- Arne Köhn
- Dipanjan Das
- Mohit Bansal
- Simon Mille
- Danilo Croce
- Anya Belz
- Simon Baker
- Pierre Nugues
- Joakim Nivre
Papers from Richard Johansson's perspective
Ordered by how strongly the researchers Richard Johansson 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
- 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)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages (2009) — 625 citations
- The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies (2008) — 558 citations
- Dependency-based Semantic Role Labeling of PropBank (2008) — 138 citations
- Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? (2021) — 26 citations
- The Effect of Syntactic Representation on Semantic Role Labeling (2008) — 87 citations
- Neural context embeddings for automatic discovery of word senses (2015) — 26 citations
- Extended Constituent-to-Dependency Conversion for English (2007) — 331 citations