Alessandro Lenci
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 7 papers; trusts 203 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 105 citations into it; #5,239 of 35,345 by trust here, #11,921 by citations
- Natural Language Processing — 97 citations into it; #1,250 of 5,688 by trust here, #1,966 by citations
- Representation & Self-Supervised Learning — 51 citations into it; #740 of 3,145 by trust here, #1,722 by citations
- Cognitive Neuroscience — 37 citations into it
- Large Language Models — 22 citations into it
- Experimental and Cognitive Psychology — 21 citations into it
- Social Psychology — 19 citations into it
- Developmental and Educational Psychology — 16 citations into it
Whom Alessandro Lenci trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Baroni
- Tomas Mikolov
- James Pustejovsky
- T. Landauer
- Christopher D. Manning
- Stephen Clark
- Geoffrey E. Hinton
- K. Erk
- Yoav Goldberg
- Mirella Lapata
Who trusts Alessandro Lenci overall
- Marco Baroni
- Oliver Watts
- Omer Levy
- Elia Bruni
- Kawin Ethayarajh
- K. Erk
- Chris Biemann
- Timothee Mickus
- Christopher Potts
- Mohammad Taher Pilehvar
Papers from Alessandro Lenci's perspective
Ordered by how strongly the researchers Alessandro Lenci trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- 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)
Their papers
- Distributional Memory: A General Framework for Corpus-Based Semantics (2010) — 684 citations
- Understanding Natural Language Understanding Systems. A Critical Analysis (2023) — 15 citations
- Distributional Models of Word Meaning (2018) — 320 citations
- Universal Dependencies 2.1 (2017) — 425 citations
- How concepts are encoded in the human brain: A modality independent, category-based cortical organization of semantic knowledge (2016) — 80 citations
- How we BLESSed distributional semantic evaluation (2011) — 327 citations
- Distributional semantics in linguistic and cognitive research (2008) — 315 citations