Optimizing Nugget Annotations with Active Learning.
Gaurav BaruahHaotian ZhangRakesh GuttikondaJimmy LinMark D. SmuckerOlga VechtomovaPublished in: CIKM (2016)
Keyphrases
- active learning
- metadata
- training set
- semi supervised
- selective sampling
- learning algorithm
- ground truth labels
- semantic annotation
- crowd sourced
- relevance feedback
- random sampling
- pool based active learning
- image annotation
- small number
- meta information
- experimental design
- transfer learning
- annotation effort
- supervised learning
- multi class
- data sets
- machine learning
- imbalanced data classification
- manual annotation
- semi supervised learning
- online learning
- learning process
- information retrieval