Karen Spärck

2004

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Karen Spärck trusts overall

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

  1. Adam L. Berger
  2. Jay M. Ponte
  3. John D. Lafferty
  4. W. Bruce Croft
  5. Regina Barzilay
  6. Michele Banko
  7. Djoerd Hiemstra
  8. Susannah Young
  9. Peter F. Brown

Who trusts Karen Spärck overall

  1. Laura Weidinger
  2. Emily M. Bender
  3. Ray R. Larson

Papers from Karen Spärck's perspective

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

  1. Information retrieval as statistical translation
  2. Class-Based n-gram Models of Natural Language
  3. A language modeling approach to information retrieval
  4. Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization (North American Chapter of the Association for Computational Linguistics)
  5. Headline Generation Based on Statistical Translation
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers