Paper: Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels

ACL ID S14-1013
Title Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

The field of compositional distributional semantics has proposed very interesting and reliable models for accounting the distributional meaning of simple phrases. These models however tend to disregard the syntactic structures when they are ap- plied to larger sentences. In this paper we propose the chunk-based smoothed tree kernels (CSTKs) as a way to exploit the syntactic structures as well as the reliabil- ity of these compositional models for sim- ple phrases. We experiment with the rec- ognizing textual entailment datasets. Our experiments show that our CSTKs per- form better than basic compositional dis- tributional semantic models (CDSMs) re- cursively applied at the sentence level, and also better than syntactic tree kernels.