Processing information intent via weak labeling

Users in an organization frequently request help by sending request messages to assistants that express information intent: an intention to update data in an information system. Human assistants spend a significant amount of time and effort processing ...

Traditional active learning methods request experts to provide ground truths to the queried instances, which can be expensive in practice. An alternative solution is to ask nonexpert labelers to do such labeling work, which can not tell the definite ...

In multi-label learning, each training example is represented by a single instance (feature vector) while associated with multiple class labels simultaneously. The task is to learn a predictive model from the training examples which can assign a set of ...