Liu Shang

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liu Shang trusts overall

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

  1. Ngoc-Quang Luong
  2. John Blatz
  3. Laurent Besacier
  4. Benjamin Lecouteux

Papers from Liu Shang's perspective

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

  1. Confidence Estimation for Machine Translation
  2. LIG System for Word Level QE task at WMT14
  3. “This sentence is wrong.” Detecting errors in machine-translated sentences
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Practical Very Large Scale CRFs (Annual Meeting of the Association for Computational Linguistics)
  6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  7. Referential Translation Machines for Quality Estimation
  8. Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding
  9. Improved Inference for Unlexicalized Parsing
  10. The Alignment Template Approach to Statistical Machine Translation (International Conference on Computational Logic)

Their papers