Nathan Schneider
Astronomy and Astrophysics · 2009–2022
A researcher in the Science corpus: 14 papers; trusts 53 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 100 citations into it
- Natural Language Processing — 65 citations into it; #1,100 of 5,688 by trust here, #697 by citations
- Artificial Intelligence — 61 citations into it; #7,324 of 35,345 by trust here, #7,112 by citations
- Evaluation & Benchmarks — 22 citations into it
- Computational Linguistics & Semantics — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #12,674 of 21,575 by trust here, #12,689 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Information Extraction — 7 citations into it
Whom Nathan Schneider trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Dekang Lin
- Peter F. Brown
- Dekang Lin
- Fr'ed'erique Motte
- Matt Post
- L. Eon Bottou
- Yoshua Bengio
- Michael Elhadad
- V. D. Pietra
Who trusts Nathan Schneider overall
- Anders Søgaard
- Isabelle Augenstein
- Lucie Flekova
- Soravit Changpinyo
- Jacob Eisenstein
- Dan Hendrycks
- Iryna Gurevych
- Svetlana Kiritchenko
- Dirk Hovy
- Alex Wang
Papers from Nathan Schneider's perspective
Ordered by how strongly the researchers Nathan Schneider trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Frame-Semantic Parsing (2014) — 333 citations
- Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments (2010) — 1,121 citations
- A Corpus and Model Integrating Multiword Expressions and Supersenses (2015) — 85 citations
- Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022) — 10 citations
- A Human Evaluation of AMR-to-English Generation Systems (2020) — 22 citations
- A census of dense cores in the Aquila cloud complex: SPIRE/PACS observations from the Herschel Gould Belt survey (2015) — 334 citations
- Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters (2013) — 818 citations
- Abstract Meaning Representation for Sembanking (2013) — 1,587 citations
- A multi-scale, multi-wavelength source extraction method: getsources (2012) — 137 citations
- Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (2011) — 242 citations
- Association for Computational Linguistics: Human Language Technologies (2011) — 612 citations
- The Aquila prestellar core population revealed by Herschel (2010) — 215 citations
- Initial highlights of the HOBYS key program, the Herschel imaging survey of OB young stellar objects (2010) — 144 citations
- Fragmentation and mass segregation in the massive dense cores of Cygnus X (2009) — 148 citations