An Environment for Relational Annotation of Political Debates

Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, Sebastian Padó


Abstract
This paper describes the MARDY corpus annotation environment developed for a collaboration between political science and computational linguistics. The tool realizes the complete workflow necessary for annotating a large newspaper text collection with rich information about claims (demands) raised by politicians and other actors, including claim and actor spans, relations, and polarities. In addition to the annotation GUI, the tool supports the identification of relevant documents, text pre-processing, user management, integration of external knowledge bases, annotation comparison and merging, statistical analysis, and the incorporation of machine learning models as “pseudo-annotators”.
Anthology ID:
P19-3018
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Marta R. Costa-jussà, Enrique Alfonseca
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
105–110
Language:
URL:
https://aclanthology.org/P19-3018
DOI:
10.18653/v1/P19-3018
Bibkey:
Cite (ACL):
Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, and Sebastian Padó. 2019. An Environment for Relational Annotation of Political Debates. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 105–110, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
An Environment for Relational Annotation of Political Debates (Blessing et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-3018.pdf