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        <title>Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification</title>
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        <namePart type="given">Yuezhang</namePart>
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    <name type="personal">
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    <abstract>Existing work learning distributed representations of knowledge base entities has largely failed to incorporate rich categorical structure, and is unable to induce category representations. We propose a new framework that embeds entities and categories jointly into a semantic space, by integrating structured knowledge and taxonomy hierarchy from large knowledge bases. Our framework enables to compute meaningful semantic relatedness between entities and categories in a principled way, and can handle both single-word and multiple-word concepts. Our method shows significant improvement on the tasks of concept categorization and dataless hierarchical classification.</abstract>
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%0 Conference Proceedings
%T Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
%A Li, Yuezhang
%A Zheng, Ronghuo
%A Tian, Tian
%A Hu, Zhiting
%A Iyer, Rahul
%A Sycara, Katia
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 dec
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F li-etal-2016-joint
%X Existing work learning distributed representations of knowledge base entities has largely failed to incorporate rich categorical structure, and is unable to induce category representations. We propose a new framework that embeds entities and categories jointly into a semantic space, by integrating structured knowledge and taxonomy hierarchy from large knowledge bases. Our framework enables to compute meaningful semantic relatedness between entities and categories in a principled way, and can handle both single-word and multiple-word concepts. Our method shows significant improvement on the tasks of concept categorization and dataless hierarchical classification.
%U https://aclanthology.org/C16-1252
%P 2678-2688

Markdown (Informal)

[Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification](https://aclanthology.org/C16-1252) (Li et al., COLING 2016)

• Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification (Li et al., COLING 2016)

ACL

• Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, and Katia Sycara. 2016. Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 2678–2688, Osaka, Japan. The COLING 2016 Organizing Committee.