Tanja Bergmann

Natural Language Processing · 2019

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 28 citations into it; #2,524 of 5,688 by trust here, #3,235 by citations
• Artificial Intelligence — 27 citations into it; #13,470 of 35,345 by trust here, #15,542 by citations
• Representation & Self-Supervised Learning — 13 citations into it

Whom Tanja Bergmann trusts overall

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

1. Matthew E. Peters
2. Tomas Mikolov
3. Sepp Hochreiter
4. Alan Akbik
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Yoshua Bengio
8. Piotr Bojanowski
9. Jeffrey Pennington
10. E. Tjong Kim Sang

Who trusts Tanja Bergmann overall

1. Jinlan Fu
2. Xinyu Wang
3. Pengfei Liu
4. Anna Rogers
5. Alan Akbik
6. Yufan Jiang
7. Jonas Pfeiffer
8. Yong Jiang
9. Amrith Krishna
10. Branden Chan

Papers from Tanja Bergmann's perspective

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

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

Their papers

• FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP (2019) — 933 citations
• Pooled Contextualized Embeddings for Named Entity Recognition (2019) — 273 citations