Kernel compositional embedding and its application in linguistic structured data classification

作者：

Highlights：

• Simultaneously leveraging the benefits of kernel methods and compositional embedding

• Kernel Compositional Embedding (KCE) as a flexible kernel embedding framework

• Two KCE methods are proposed to implicitly or explicitly classify structured objects

• An MKL solution is also applied to achieve a richer kernel and better performance

摘要

•Simultaneously leveraging the benefits of kernel methods and compositional embedding•Kernel Compositional Embedding (KCE) as a flexible kernel embedding framework•Two KCE methods are proposed to implicitly or explicitly classify structured objects•An MKL solution is also applied to achieve a richer kernel and better performance

论文关键词：Structured data representation,Kernel methods,Compositional embedding,Structured object classification

论文评审过程：Received 10 August 2019, Revised 20 January 2020, Accepted 22 January 2020, Available online 23 January 2020, Version of Record 18 May 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105553