Paper: Bringing Active Learning to Life

ACL ID C10-1107
Title Bringing Active Learning to Life
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010

Active learning has been applied to dif- ferent NLP tasks, with the aim of limit- ing the amount of time and cost for human annotation. Most studies on active learn- ing have only simulated the annotation scenario, using prelabelled gold standard data. We present the first active learning experiment for Word Sense Disambigua- tion with human annotators in a realistic environment, using fine-grained sense dis- tinctions, and investigate whether AL can reduce annotation cost and boost classifier performance when applied to a real-world task.