This repository contains the code used for experiments in Anytime active learning research published on the following paper:

Ramirez-Loaiza, Maria E., Aron Culotta, and Mustafa Bilgic. 2014. “Anytime Active Learning.” In AAAI Conference on Artificial Intelligence.

In this file:

• Repository
• Configuration
• How to run

Structure of the repository

• datautil -> various functions to load the data
• experiment
  • |_ anytime.py --> active learning loop for anytime AL
  • |_ experiment_utils.py --> printing resutls
• strategy
  • |_ baselearner.py --> basic student class
  • |_ randomsampling.py --> AnytimeLearner
  • |_ structured.py --> AnytimeLearner with structured reading classes
• expert
  • |_ baseexpert.py --> you need the class NeutralityExpert
• sentence
  • |_ baseexpert.py --> you need the class NeutralityExpert
• scripts --> contains all scripts used to run experiments for this research

Coming soon.

Coming soon.