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Comparing Tree Kernels performances in argumentative evidence classification
LIGA, Davide
2019In CLADAG 2019 - Book of Short Papers
Peer reviewed
 

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Keywords :
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.
Disciplines :
Computer science
Author, co-author :
LIGA, Davide ;  University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)
External co-authors :
yes
Language :
English
Title :
Comparing Tree Kernels performances in argumentative evidence classification
Publication date :
2019
Event name :
CLADAG 2019
Event date :
From 11-09-2019 to 13-09-2019
Main work title :
CLADAG 2019 - Book of Short Papers
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Commentary :
CLADAG 2019 - Book of Short Papers Cladag 2019
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