Mehrnoosh Sadrzadeh
Natural Language Processing · 2010–2014
A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 52 citations into it; #815 of 5,688 by trust here, #1,779 by citations
- Artificial Intelligence — 28 citations into it; #2,976 of 35,345 by trust here, #7,797 by citations
- Representation & Self-Supervised Learning — 26 citations into it; #648 of 3,145 by trust here, #1,781 by citations
Whom Mehrnoosh Sadrzadeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeff Mitchell
- Edward Grefenstette
- Marco Baroni
- Mirella Lapata
- Hinrich Schütze
- Geoffrey E. Hinton
- Tomas Mikolov
- Walter Kintsch
- Daniel Müllner
- T. Landauer
Who trusts Mehrnoosh Sadrzadeh overall
- Edward Grefenstette
- Karl Moritz Hermann
- Dimitri Kartsaklis
- Phil Blunsom
- Marco Baroni
- K. Erk
- Marco Marelli
- Dmitrijs Milajevs
- Aurélie Herbelot
- Alessandro Lenci
Papers from Mehrnoosh Sadrzadeh's perspective
Ordered by how strongly the researchers Mehrnoosh Sadrzadeh trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Multi-Step Regression Learning for Compositional Distributional Semantics (2013) — 145 citations
- Experimental Support for a Categorical Compositional Distributional Model of Meaning (2011) — 351 citations
- Mathematical Foundations for a Compositional Distributional Model of Meaning (2010) — 624 citations
- Evaluating Neural Word Representations in Tensor-Based Compositional Settings (2014) — 116 citations
- Prior Disambiguation of Word Tensors for Constructing Sentence Vectors (2013) — 90 citations