Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Comparing Tree Kernels performances in argumentative evidence classification
Liga, Davide
2019In CLADAG 2019 - Book of Short Papers
Peer reviewed
 

Files


Full Text
Comparing Tree Kernels performances in argumentative evidence classification.pdf
Publisher postprint (20.14 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



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
Available on ORBilu :
since 20 September 2022

Statistics


Number of views
33 (1 by Unilu)
Number of downloads
3 (2 by Unilu)

Bibliography


Similar publications



Contact ORBilu