Teresa Botschen

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #17,789 of 35,345 by trust here, #21,316 by citations
• Natural Language Processing — 18 citations into it; #3,109 of 5,688 by trust here, #4,112 by citations
• Evaluation & Benchmarks — 10 citations into it; #1,922 of 3,147 by trust here, #2,545 by citations

Whom Teresa Botschen trusts overall

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

1. Diederik P. Kingma
2. Chin-Yew Lin
3. Jimmy Ba
4. Antoine Bordes
5. Eneko Agirre
6. Tomas Mikolov
7. Geoffrey E. Hinton
8. Ivan Habernal
9. Qian Chen
10. Yoshua Bengio

Who trusts Teresa Botschen overall

1. Timothy Niven
2. Maxime Peyrard
3. Hung-Yu kao
4. Nicholas Egan

Papers from Teresa Botschen's perspective

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

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

Their papers

• Learning to Score System Summaries for Better Content Selection Evaluation. (2017) — 101 citations
• Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning (2018) — 28 citations