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Italian Journal of Computational Linguistics
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Distributed Smoothed Tree Kernel

Authors: Ferrone, L; ZANZOTTO, FABIO MASSIMO;

Distributed Smoothed Tree Kernel

Abstract

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.

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Italy
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Keywords

Social Sciences, Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, Settore INF/01 - INFORMATICA, H, In questo paper vogliamo esplorare la possibilità di unire il mondo dei metodi di semantica distribuzione composizionale (CDSM) con quello dei tree Kernel (TK). In particolare introdurremo un particolare tree kernel e poi mostreremo che è possibile approssimare questo kernel tramite il prodotto scalare tra due vettori ottenuti composizionalmente a partire dalle frasi di partenza, creando così di fatto un nuovo modello di semantica distribuzionale composizionale, In questo paper vogliamo esplorare la possibilità di unire il mondo dei metodi di semantica distribuzione composizionale (CDSM) con quello dei tree Kernel (TK). In particolare introdurremo un particolare tree kernel e poi mostreremo che è possibile approssimare questo kernel tramite il prodotto scalare tra due vettori ottenuti composizionalmente a partire dalle frasi di partenza, creando così di fatto un nuovo modello di semantica distribuzionale composizionale., Computational linguistics. Natural language processing, P98-98.5

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal