Comparing Tree Kernels performances in argumentative evidence classification

Reference : Comparing Tree Kernels performances in argumentative evidence classification


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/52144

Title :	Comparing Tree Kernels performances in argumentative evidence classification
Language :	English
Author, co-author :	Liga, Davide [University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM) >]
Publication date :	2019
Main document title :	CLADAG 2019 - Book of Short Papers
Peer reviewed :	Yes
Event name :	CLADAG 2019
Event date :	From 11-09-2019 to 13-09-2019
Keywords :	[en] Argument Mining ; Argumentation ; Tree kernels ; Evidence detection
Abstract :	[en] The purpose of this study is to deploy a novel methodology for classifying argumentative support (or evidence) in arguments. The methodology shows that Tree Kernel can discriminate between different types of argumentative evidence with high scores, while keeping a good generalization. Moreover, the results of two different Tree Kernels are evaluated.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/52144
Commentary :	CLADAG 2019 - Book of Short Papers Cladag 2019

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