David Kauchak

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom David Kauchak trusts overall

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

  1. Fabrizio Sebastiani
  2. Jason D. M. Rennie

Who trusts David Kauchak overall

  1. Chong Wang
  2. Zachary Chase Lipton

Papers from David Kauchak's perspective

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

  1. A comparison of event models for naive bayes text classification
  2. Machine learning in automated text categorization
  3. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
  4. An algorithm for suffix stripping
  5. A statistical interpretation of term specificity and its application in retrieval
  6. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
  7. Generating Typed Dependency Parses from Phrase Structure Parses
  8. A vector space model for automatic indexing
  9. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
  10. Association of health literacy with diabetes outcomes. (Journal of the American Medical Association (JAMA))

Their papers