@inproceedings{lapesa-etal-2020-debatenet,
title = "{DE}bate{N}et-mig15:Tracing the 2015 Immigration Debate in {G}ermany Over Time",
author = "Lapesa, Gabriella and
Blessing, Andre and
Blokker, Nico and
Dayanik, Erenay and
Haunss, Sebastian and
Kuhn, Jonas and
Pad{\'o}, Sebastian",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.115",
pages = "919--927",
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",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<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</abstract>
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%0 Conference Proceedings
%T DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time
%A Lapesa, Gabriella
%A Blessing, Andre
%A Blokker, Nico
%A Dayanik, Erenay
%A Haunss, Sebastian
%A Kuhn, Jonas
%A Padó, Sebastian
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F lapesa-etal-2020-debatenet
%X 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
%U https://aclanthology.org/2020.lrec-1.115
%P 919-927
Markdown (Informal)
[DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time](https://aclanthology.org/2020.lrec-1.115) (Lapesa et al., LREC 2020)
ACL