Dustin Hillard

Natural Language Processing · 2006–2009

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dustin Hillard trusts overall

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

  1. J. Breese
  2. Andreas Stolcke
  3. Leo Breiman

Papers from Dustin Hillard's perspective

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

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. Class-Based n-gram Models of Natural Language
  3. Shallow Parsing with Conditional Random Fields
  4. An Empirical Study of Smoothing Techniques for Language Modeling
  5. Bagging Predictors
  6. A Maximum Entropy Approach to Natural Language Processing
  7. SRILM - an extensible language modeling toolkit
  8. Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
  9. A Limited Memory Algorithm for Bound Constrained Optimization
  10. Finding consensus in speech recognition: word error minimization and other applications of confusion networks (Computer Speech and Language)

Their papers