资 源 简 介
DUALIST: Utility for Active Learning with Instances and Semantic Terms
NOTE: This project has moved to: https://github.com/burrsettles/dualist
Hooray for recursive acronyms!
DUALIST is an interactive machine learning system for quickly building classifiers for text processing tasks. It does so by asking "questions" of a human "teacher" in the form of both data instances (e.g., text documents) and features (e.g., words or phrases). It uses active learning and semi-supervised learning to build text-based classifiers at interactive speed.
Research related to DUALIST is described in these publications:
B. Settles. Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Fea
