An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data.
Cheng-Wei LeeMin-Yuh DayWen-Lian HsuPublished in: AIRS (2010)
Keyphrases
- comparative study
- unseen data
- cross validation
- training data
- data driven
- training set
- class labels
- support vector machine
- classification rules
- missing attribute values
- test data
- semi automatic
- expert systems
- data sets
- support vector
- decision trees
- artificial intelligence
- classification algorithm
- missing values
- error rate
- statistical tests
- nearest neighbor
- small number