Entity Hierarchy Embedding

Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric Xing
2015 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)  
Existing distributed representations are limited in utilizing structured knowledge to improve semantic relatedness modeling. We propose a principled framework of embedding entities that integrates hierarchical information from large-scale knowledge bases. The novel embedding model associates each category node of the hierarchy with a distance metric. To capture structured semantics, the entity similarity of context prediction are measured under the aggregated metrics of relevant categories
more » ... all inter-entity paths. We show that both the entity vectors and category distance metrics encode meaningful semantics. Experiments in entity linking and entity search show superiority of the proposed method.
doi:10.3115/v1/p15-1125 dblp:conf/acl/HuHDGX15 fatcat:3oicakbx3na2boqeomzjjdgjlu