Roberto Zamparelli
Natural Language Processing · 2003–2016
A researcher in the Science corpus: 7 papers; trusts 32 researchers and is trusted by 111 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 93 citations into it; #535 of 5,688 by trust here, #761 by citations
- Artificial Intelligence — 65 citations into it; #5,096 of 35,345 by trust here, #4,080 by citations
- Representation & Self-Supervised Learning — 41 citations into it; #519 of 3,145 by trust here, #1,295 by citations
- Language and Linguistics — 13 citations into it; #2,781 of 3,093 by trust here, #2,338 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
Whom Roberto Zamparelli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeff Mitchell
- George Karypis
- Richard Montague
- Walter Kintsch
- Mirella Lapata
- Marco Baroni
- Edward Grefenstette
- Bjørn-Helge Mevik
- Trevor J. Hastie
- Geoffrey E. Hinton
Who trusts Roberto Zamparelli overall
- Dimitri Kartsaklis
- Edward Grefenstette
- Marco Baroni
- Aurélie Herbelot
- Peter D. Turney
- Phil Blunsom
- Karl Moritz Hermann
- Stephen Clark
- Samuel R. Bowman
- John Wieting
Papers from Roberto Zamparelli's perspective
Ordered by how strongly the researchers Roberto Zamparelli trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- A SICK cure for the evaluation of compositional distributional semantic models (2014) — 963 citations
- SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment (2014) — 450 citations
- SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment (2016) — 62 citations
- Frege in Space: A Program of Compositional Distributional Semantics (2014) — 222 citations
- Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics (2013) — 115 citations
- Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space (2010) — 570 citations
- Coordinated Bare Definites (2003) — 76 citations