Auto-Relevancy Baseline: A Hybrid System Without Human Feedback

Abstract

On obtaining a Request for Production and automatically emulating a typical eDiscovery workflow, a simple application of the classical Bayes algorithm upon the pseudo-hybridization of Semantic and Latent Semantic Indexing systems should smooth out historically high yet noisy Recall of some LSI models and their derivatives and produce a tighter linear distribution when assessing relevant documents unsupervised.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA547187

Entities

People

  • Cody Bennett

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Languages
  • Dimensionality Reduction
  • Feature Selection
  • Feedback
  • Hybrid Systems
  • Hybridization
  • Information Processing
  • Information Science
  • Information Systems
  • Language
  • Learning
  • Machine Learning
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Parallel and Distributed Computing.
  • Statistical inference.