Rachel E. Ginn

Natural Language Processing · 2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel E. Ginn trusts overall

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

  1. Alan R. Aronson
  2. Abeed Sarker
  3. Robert Leaman
  4. Andrew Yates
  5. Graciela Gonzalez
  6. Alexander S. Yeh

Papers from Rachel E. Ginn's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. A Neural Probabilistic Language Model
  3. Natural Language Processing (Almost) from Scratch
  4. Word Representations: A Simple and General Method for Semi-Supervised Learning
  5. A side effect resource to capture phenotypic effects of drugs
  6. A Coefficient of Agreement for Nominal Scales
  7. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
  8. ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites
  9. BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (Pacific Symposium on Biocomputing)
  10. Named Entity Recognition in Tweets: An Experimental Study (Conference on Empirical Methods in Natural Language Processing)

Their papers