Seeger Fisher

Natural Language Processing · 2005

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seeger Fisher trusts overall

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

  1. Michael Collins
  2. Eugene Charniak
  3. Fei Sha
  4. E. Tjong Kim Sang
  5. Laurence S. Gillick
  6. Fernando C Pereira

Who trusts Seeger Fisher overall

  1. Ronan Collobert

Papers from Seeger Fisher's perspective

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

  1. A Maximum-Entropy-Inspired Parser
  2. Three Generative, Lexicalised Models for Statistical Parsing
  3. Discriminative Reranking for Natural Language Parsing
  4. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
  5. Shallow Parsing with Conditional Random Fields
  6. Long Short-Term Memory
  7. Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking (Annual Meeting of the Association for Computational Linguistics)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet classification with deep convolutional neural networks
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers