Asher Stern
Natural Language Processing · 2011–2014
A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 65 citations into it; #1,729 of 5,688 by trust here, #3,574 by citations
- Artificial Intelligence — 42 citations into it
- Evaluation & Benchmarks — 22 citations into it
- Computational Linguistics & Semantics — 11 citations into it
- Information Extraction — 7 citations into it
- Information Retrieval & Search — 7 citations into it
- Molecular Biology — 5 citations into it
Whom Asher Stern trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dekang Lin
- Ido Dagan
- Luisa Bentivogli
- Stefan Harmeling
- Patrick Pantel
- Yashar Mehdad
- Danilo Giampiccolo
- Dekang Lin
- Jenny Rose Finkel
- Peter Clark
Who trusts Asher Stern overall
- Jonathan Berant
- Karthik Narasimhan
- Steven Burrows
- Matthew Richardson
- Ido Dagan
- Daniel Bär
- Sebastian Padó
- Iryna Gurevych
- Hai Hu
- Assaf Toledo
Papers from Asher Stern's perspective
Ordered by how strongly the researchers Asher Stern 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
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Efficient Estimation of Word Representations in Vector Space
Their papers
- Design and realization of a modular architecture for textual entailment (2013) — 40 citations
- The Excitement Open Platform for Textual Inferences (2014) — 72 citations
- Semantic Annotation for Textual Entailment Recognition (2012) — 17 citations
- Efficient Search for Transformation-based Inference (2012) — 19 citations
- A Confidence Model for Syntactically-Motivated Entailment Proofs (2011) — 50 citations