Tag Archives: Text classification

For resource-poor languages such as Hmong, large datasets of annotated questions are unavailable, which means that producing an automated question classifier is a potentially challenging task. Currently, a dataset containing 411 annotated Hmong questions is publicly available. The challenge here is to produce a question classifier with adequate accuracy using this available dataset. What weContinue reading “Question classification with limited annotated data”