Learning to compose over tree structures via POS tags for sentence representation

作者：

Highlights：

• We propose a new approach for sentence representation.

• Our approach can capture the complex semantic compositionality.

• Extensive experiments show that our proposed approach is effective.

摘要

•We propose a new approach for sentence representation.•Our approach can capture the complex semantic compositionality.•Extensive experiments show that our proposed approach is effective.

论文关键词：Distributed sentence representation,Recursive neural network,Dynamic parameter prediction,Sentence classification,Text semantic matching

论文评审过程：Received 5 March 2019, Revised 12 August 2019, Accepted 1 September 2019, Available online 6 September 2019, Version of Record 13 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112917