DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time

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


Abstract
DEbateNet-migr15 is a manually annotated dataset for German which covers the public debate on immigration in 2015. The building block of our annotation is the political science notion of a claim, i.e., a statement made by a political actor (a politician, a party, or a group of citizens) that a specific action should be taken (e.g., vacant flats should be assigned to refugees). We identify claims in newspaper articles, assign them to actors and fine-grained categories and annotate their polarity and date. The aim of this paper is two-fold: first, we release the full DEbateNet-mig15 corpus and document it by means of a quantitative and qualitative analysis; second, we demonstrate its application in a discourse network analysis framework, which enables us to capture the temporal dynamics of the political debate
Anthology ID:
2020.lrec-1.115
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
919–927
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.115
DOI:
Bibkey:
Cite (ACL):
Gabriella Lapesa, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn, and Sebastian Padó. 2020. DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 919–927, Marseille, France. European Language Resources Association.
Cite (Informal):
DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time (Lapesa et al., LREC 2020)
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PDF:
https://aclanthology.org/2020.lrec-1.115.pdf