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Annotation of Argument Components in Political Debates Data
Haddadan, Shohreh; Cabrio, Elena; Villata, Serena
2018In Proceedings of the Workshop on Annotation in Digital Humanities
Peer reviewed
 

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Keywords :
Argumentation Mining; Annotation; Inter-annotator Agreement; Argument Components
Abstract :
[en] n this paper, we present the annotation guidelines we defined for annotating arguments in political debates. In our guidelines, we consider each argument as being composed of a claim and one or more premises. The annotation process has started with defining the guidelines for three annotators containing examples from the data, and continued as cyclic process of evaluation and revision on the annotation to resolve the ambiguities in the guidelines. In this paper, we briefly discuss the resulting annotated dataset and give some examples of the annotation scheme. The quality of the annotated dataset is assessed by computing inter-annotator agreement using Krippendorf’s α coefficient on a portion of the dataset.
Research center :
- Luxembourg Centre for Contemporary and Digital History (C2DH) > Doctoral Training Unit (DTU)
Disciplines :
Computer science
Author, co-author :
Haddadan, Shohreh ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Cabrio, Elena
Villata, Serena
External co-authors :
yes
Language :
English
Title :
Annotation of Argument Components in Political Debates Data
Publication date :
2018
Event name :
Workshop on Annotation in Digital Humanities
Event date :
from 6-08-2018 to 10-08-2018
Main work title :
Proceedings of the Workshop on Annotation in Digital Humanities
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 27 December 2018

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