Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates

Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn


Abstract
Understanding the structures of political debates (which actors make what claims) is essential for understanding democratic political decision making. The vision of computational construction of such discourse networks from newspaper reports brings together political science and natural language processing. This paper presents three contributions towards this goal: (a) a requirements analysis, linking the task to knowledge base population; (b) an annotated pilot corpus of migration claims based on German newspaper reports; (c) initial modeling results.
Anthology ID:
P19-1273
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Anna Korhonen, David Traum, Lluís Màrquez
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2841–2847
Language:
URL:
https://aclanthology.org/P19-1273
DOI:
10.18653/v1/P19-1273
Bibkey:
Cite (ACL):
Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, and Jonas Kuhn. 2019. Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 2841–2847, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates (Padó et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-1273.pdf
Supplementary:
 P19-1273.Supplementary.pdf
Video:
 https://vimeo.com/384741489
Code
 mardy-spp/mardy_acl2019