Hierarchical Conceptual Labeling

The bag-of-words model is widely used in many AI applications. In this paper, we propose the task of hierarchical conceptual labeling (HCL), which aims to generate a set of conceptual labels with a hierarchy to represent the semantics of a bag of words. To achieve it, we first propose a denoising algorithm to filter out the noise in a bag of words in advance. Then the hierarchical conceptual labels are generated for a clean word bag based on the clustering algorithm of Bayesian rose tree. The experiments demonstrate the high performance of our proposed framework.