M. Sanseverino

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Sanseverino trusts

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

  1. Kai-Wei Chang (in Artificial Intelligence)
  2. Noah A. Smith (in Artificial Intelligence)
  3. Hal Daumé Iii (in Artificial Intelligence)
  4. Luke S. Zettlemoyer (in Artificial Intelligence)
  5. Hanna M. Wallach (in Artificial Intelligence)

Papers from M. Sanseverino's perspective

Ordered by how strongly the researchers M. Sanseverino 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. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  3. Gender Bias in Coreference Resolution
  4. Language (Technology) is Power: A Critical Survey of “Bias” in NLP
  5. Semantics derived automatically from language corpora contain human-like biases
  6. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  7. Attention is All you Need (Neural Information Processing Systems)
  8. The Woman Worked as a Babysitter: On Biases in Language Generation
  9. Datasheets for datasets
  10. Measuring and Mitigating Unintended Bias in Text Classification

Their papers