Nicholas Keller

Mturk@HLT-NAACL · 2010

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

Papers from Nicholas Keller's perspective

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

  1. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
  2. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
  3. The Anatomy of a Large-Scale Hypertextual Web Search Engine
  4. Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon’s Mechanical Turk
  5. Relevance feedback in information retrieval
  6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  7. Generating Typed Dependency Parses from Phrase Structure Parses
  8. Maximum Entropy Markov Models for Information Extraction and Segmentation (International Conference on Machine Learning)
  9. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  10. Machine Learning for Information Extraction in Informal Domains (Machine-mediated learning)

Their papers