Natalie Schluter

Natural Language Processing · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 71 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 28 citations into it; #1,202 of 5,688 by trust here, #3,574 by citations
• Artificial Intelligence — 26 citations into it; #6,125 of 35,345 by trust here, #20,836 by citations
• Evaluation & Benchmarks — 9 citations into it; #663 of 3,147 by trust here, #2,393 by citations
• Representation & Self-Supervised Learning — 8 citations into it

Whom Natalie Schluter trusts overall

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

1. Tomas Mikolov
2. Jeffrey Pennington
3. Omer Levy
4. D. Gillick
5. Richard Socher
6. Chin-Yew Lin
7. Ilya Sutskever
8. David Jurgens
9. Christopher D. Manning
10. Yoshua Bengio

Who trusts Natalie Schluter overall

1. Shay B. Cohen
2. Shashi Narayan
3. Hardy Hardy
4. Mirella Lapata
5. Saif M. Mohammad
6. Alex Wang
7. Joshua Maynez
8. Shahbuland Matiana
9. Tony Sun
10. Andreas Vlachos

Papers from Natalie Schluter's perspective

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

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

Their papers

• The limits of automatic summarisation according to ROUGE (2017) — 125 citations
• Baselines and Test Data for Cross-Lingual Inference (2017) — 29 citations
• Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022) — 10 citations
• The glass ceiling in NLP (2018) — 22 citations
• The Word Analogy Testing Caveat (2018) — 37 citations