Stefano Menini
Natural Language Processing · 2014–2021
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 48 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 67 citations into it; #1,355 of 5,688 by trust here, #995 by citations
- Artificial Intelligence — 55 citations into it; #5,051 of 35,345 by trust here, #4,101 by citations
- Representation & Self-Supervised Learning — 12 citations into it
Whom Stefano Menini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeff Mitchell
- Marcos Zampieri
- Edward Grefenstette
- Marco Marelli
- Geoffrey E. Hinton
- Mirella Lapata
- Christopher D. Manning
- Rico Sennrich
- Yoshua Bengio
- Guillaume Lample
Who trusts Stefano Menini overall
- Samuel R. Bowman
- Lasha Abzianidze
- Alexis Conneau
- Bowen Zhang
- Hai Hu
- Douwe Kiela
- Shuai Tang
- Tushar Khot
- Alice Lai
- Luisa Bentivogli
Papers from Stefano Menini's perspective
Ordered by how strongly the researchers Stefano Menini trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet: A large-scale hierarchical image database
- GloVe: Global Vectors for Word Representation
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
- Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection (2020) — 18 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
- Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement (2021) — 135 citations