Eyal Shnarch

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #28,612 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 10 citations into it

Whom Eyal Shnarch trusts overall

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

1. Dekang Lin
2. Alex Graves
3. Patrick Pantel
4. Jun'ichi Kazama
5. Xiaojin Zhu

Who trusts Eyal Shnarch overall

1. Ion Androutsopoulos

Papers from Eyal Shnarch's perspective

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

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

Their papers

• Evaluating the Inferential Utility of Lexical-Semantic Resources (2009) — 29 citations
• Corpus Wide Argument Mining - a Working Solution (2019) — 70 citations