Classification of entities via their descriptive sentences

Chao Zhao; Min Zhao; Yi Guan

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arXiv · 1711.10317

Classification of entities via their descriptive sentences

Chao Zhao·Min Zhao·Yi Guan

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Abstract

Hypernym identification of open-domain entities is crucial for taxonomy construction as well as many higher-level applications. Current methods suffer from either low precision or low recall. To decrease the difficulty of this problem, we adopt a classification-based method. We pre-define a concept taxonomy and classify an entity to one of its leaf concept, based on the name and description information of the entity. A convolutional neural network classifier and a K-means clustering module are adopted for classification. We applied this system to 2.1 million Baidu Baike entities, and 1.1 million of them were successfully identified with a precision of 99.36%.

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Chao Zhao, Min Zhao, Yi Guan. 2017-11-28. Classification of entities via their descriptive sentences. https://arxiv.org/abs/1711.10317

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