Pierre Zweigenbaum
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #11,182 of 35,345 by trust here, #11,750 by citations
- Molecular Biology — 38 citations into it
- Natural Language Processing — 23 citations into it; #2,190 of 5,688 by trust here, #3,282 by citations
- Evaluation & Benchmarks — 10 citations into it; #1,146 of 3,147 by trust here, #2,166 by citations
- Genetics — 7 citations into it
Whom Pierre Zweigenbaum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William R. Hersh
- Sophia Ananiadou
- Thierry Etchegoyhen
- Thomas C. Rindflesch
- Stephan Gouws
- Lars Juhl Jensen
- Yoshua Bengio
- Irena Spasic
- Eneko Agirre
- Marcelo Fiszman
Who trusts Pierre Zweigenbaum overall
- Mikel Artetxe
- Holger Schwenk
- Nils Reimers
- John Wieting
- Viktor Hangya
- Andoni Azpeitia
- Cristina España-Bonet
- Pinzhen Chen
- Ivana Kvapilíková
- Fangxiaoyu Feng
Papers from Pierre Zweigenbaum's perspective
Ordered by how strongly the researchers Pierre Zweigenbaum trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Overview of the Second BUCC Shared Task: Spotting Parallel Sentences in Comparable Corpora (2017) — 142 citations
- CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters (2020) — 178 citations
- Frontiers of biomedical text mining: current progress (2007) — 315 citations
- Clinical Natural Language Processing in languages other than English: opportunities and challenges (2018) — 306 citations
- CARAMBA: Concept, Assertion, and Relation Annotation using Machine-learning Based Approaches (2010) — 39 citations