Guang-Rong Yan

Bioinform. · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Guang-Rong Yan trusts overall

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

  1. Dekang Lin

Who trusts Guang-Rong Yan overall

  1. Guangchuang Yu

Papers from Guang-Rong Yan's perspective

Ordered by how strongly the researchers Guang-Rong Yan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A new method to measure the semantic similarity of GO terms (Bioinform.)
  2. An Information-Theoretic Definition of Similarity
  3. Named Entity Recognition with a Maximum Entropy Approach
  4. Improving Machine Learning Approaches to Coreference Resolution
  5. Building a Large Annotated Corpus of English: The Penn Treebank
  6. Three Generative, Lexicalised Models for Statistical Parsing
  7. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
  8. The Nature of Statistical Learning Theory, Second Edition (Statistics for Engineering and Information Science)
  9. Probabilistic reasoning in intelligent systems - networks of plausible inference
  10. Freebase: a collaboratively created graph database for structuring human knowledge

Their papers