Seung-Hoon Na

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Seung-Hoon Na trusts overall

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

  1. David Weiss

Who trusts Seung-Hoon Na overall

  1. Matt Post
  2. Julia Kreutzer
  3. Kevin Duh
  4. Stefan Riezler
  5. Joshua Uyheng
  6. Sorami Hisamoto

Papers from Seung-Hoon Na's perspective

Ordered by how strongly the researchers Seung-Hoon Na trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. A Study of Translation Edit Rate with Targeted Human Annotation
  4. Stack-propagation: Improved Representation Learning for Syntax
  5. Unbabel’s Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task
  6. QuEst - A translation quality estimation framework
  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. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers