Se-Jong Kim

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Se-Jong Kim trusts overall

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

  1. Franz Joseph Och
  2. Hermann Ney
  3. Stanley F. Chen
  4. Reinhard Kneser
  5. Philipp Koehn
  6. Marcello Federico

Papers from Se-Jong Kim's perspective

Ordered by how strongly the researchers Se-Jong Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Empirical Study of Smoothing Techniques for Language Modeling
  2. Statistical Phrase-Based Translation
  3. A Systematic Comparison of Various Statistical Alignment Models
  4. Improved backing-off for M-gram language modeling
  5. IRSTLM: an open source toolkit for handling large scale language models
  6. Bleu: a Method for Automatic Evaluation of Machine Translation
  7. Long Short-Term Memory
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers