Ken Barker

Canadian Conference on AI · 2000

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Whom Ken Barker trusts overall

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

  1. Peter D. Turney

Who trusts Ken Barker overall

  1. Corina Florescu
  2. Thuy Dung Nguyen
  3. Min-Yen Kan
  4. Su Nam Kim
  5. Cornelia Caragea
  6. Anette Hulth
  7. Olena Medelyan
  8. Kazi Saidul Hasan
  9. Xiaojun Wan

Papers from Ken Barker's perspective

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

  1. Learning to Extract Keyphrases from Text (arXiv.org)
  2. A unified architecture for natural language processing: deep neural networks with multitask learning
  3. Recurrent neural network based language model
  4. Indexing by Latent Semantic Analysis
  5. Automatic Retrieval and Clustering of Similar Words
  6. Latent Dirichlet Allocation
  7. Efficient Estimation of Word Representations in Vector Space
  8. An algorithm for suffix stripping
  9. Introduction to WordNet: An On-line Lexical Database
  10. Producing high-dimensional semantic spaces from lexical co-occurrence

Their papers