Distributed Smoothed Tree Kernel

In this paper we explore the possibility to merge the world of Compositional Distributional Semantic Models (CDSM) with Tree Kernels (TK). In particular, we will introduce a specific tree kernel (smoothed tree kernel, or STK) and then show that is possibile to approximate such kernel with the dot product of two vectors obtained compositionally from the sentences, creating in such a way a new CDSM

Linear Compositional Distributional Semantics and Structural Kernels

In this paper, we want to start the analysis of the models for compositional distributional semantics (CDS) with respect to the distributional similarity. We believe that this simple analysis of the properties of the similarity can help to better investigate new CDS models. We show that, looking at CDS models from this point of view, these models are strictly related with convolution kernels (Haussler, 1999), e.g.: tree kernels (Collins and Duffy, 2002). We will then examine how the distributed tree kernels (Zanzotto and Dell’Arciprete, 2012) are an interesting result to draw a stronger link between CDS models and convolution kernels

Linear Compositional Distributional Semantics and Structural Kernels

In this paper, we want to start the analysis of the models for compositional distributional semantics (CDS) with respect to the distributional similarity. We believe that this simple analysis of the properties of the similarity can help to better investigate new CDS models. We show that, looking at CDS models from this point of view, these models are strictly related with convolution kernels (Haussler, 1999), e.g.: tree kernels (Collins and Duffy, 2002). We will then examine how the distributed tree kernels (Zanzotto and Dell’Arciprete, 2012) are an interesting result to draw a stronger link between CDS models and convolution kernels