Silvia Severini
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Natural Language Processing — 21 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Silvia Severini trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin (in Evaluation & Benchmarks)
- Taku Kudo (in Artificial Intelligence)
- Matt Post (in Natural Language Processing)
- Steven Bird (in Artificial Intelligence)
Papers from Silvia Severini's perspective
Ordered by how strongly the researchers Silvia Severini trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Effective Approaches to Attention-based Neural Machine Translation
- SQuAD: 100,000+ Questions for Machine Comprehension of Text
- XLNet: Generalized Autoregressive Pretraining for Language Understanding (Neural Information Processing Systems)