Abstract
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.
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CITATION STYLE
Jiang, H., Zhang, C., Yang, D., Xiao, Y., Liu, J., Chen, J., … Wang, W. (2019). Hierarchical Conceptual Labeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11448 LNCS, pp. 230–234). Springer Verlag. https://doi.org/10.1007/978-3-030-18590-9_18
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