Simone Paolo Ponzetto
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 9 papers; trusts 173 researchers and is trusted by 73 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 127 citations into it; #3,093 of 35,345 by trust here, #7,797 by citations
- Natural Language Processing — 103 citations into it; #773 of 5,688 by trust here, #1,857 by citations
- Representation & Self-Supervised Learning — 32 citations into it; #505 of 3,145 by trust here, #1,597 by citations
- Safety, Robustness & Interpretability — 23 citations into it
- Information Retrieval & Search — 13 citations into it; #479 of 1,022 by trust here, #602 by citations
- Information Systems — 13 citations into it
- Communication — 11 citations into it
- Molecular Biology — 11 citations into it; #573 of 17,773 by trust here, #8,089 by citations
Whom Simone Paolo Ponzetto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marti A. Hearst
- Dekang Lin
- Roberto Navigli
- Michael Collins
- Michael Strube
- Taku Kudoh
- Philip Resnik
- Daniel Klein
- Martha Palmer
- Philipp Koehn
Who trusts Simone Paolo Ponzetto overall
- Mohammad Taher Pilehvar
- Fabian M. Suchanek
- Vincent Ng
- José Camacho-Collados
- Roberto Navigli
- Lev-Arie Ratinov
- Greg Durrett
- Michael Strube
- Vivi Nastase
- Dan Roth
Papers from Simone Paolo Ponzetto's perspective
Ordered by how strongly the researchers Simone Paolo Ponzetto trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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)
- 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)
- 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
- ImageNet: A large-scale hierarchical image database
Their papers
- Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution (2006) — 307 citations
- BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network (2012) — 1,754 citations
- AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings (2020) — 33 citations
- A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces (2019) — 69 citations
- Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation (2017) — 35 citations
- Linked Disambiguated Distributional Semantic Networks (2016) — 23 citations
- BabelNet: Building a Very Large Multilingual Semantic Network (2010) — 651 citations
- Deriving a Large-Scale Taxonomy from Wikipedia (2007) — 528 citations
- WikiRelate! Computing Semantic Relatedness Using Wikipedia (2006) — 930 citations