Hannah Smith

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hannah Smith trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Bernardo Magnini (in Natural Language Processing)

Papers from Hannah Smith's perspective

Ordered by how strongly the researchers Hannah Smith trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  4. A large annotated corpus for learning natural language inference
  5. Bidirectional Attention Flow for Machine Comprehension
  6. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. BLEURT: Learning Robust Metrics for Text Generation

Their papers