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.