A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification

Julia Romberg, Laura Mark, Tobias Escher


Abstract
Political authorities in democratic countries regularly consult the public in order to allow citizens to voice their ideas and concerns on specific issues. When trying to evaluate the (often large number of) contributions by the public in order to inform decision-making, authorities regularly face challenges due to restricted resources. We identify several tasks whose automated support can help in the evaluation of public participation. These are i) the recognition of arguments, more precisely premises and their conclusions, ii) the assessment of the concreteness of arguments, iii) the detection of textual descriptions of locations in order to assign citizens’ ideas to a spatial location, and iv) the thematic categorization of contributions. To enable future research efforts to develop techniques addressing these four tasks, we introduce the CIMT PartEval Corpus, a new publicly-available German-language corpus that includes several thousand citizen contributions from six mobility-related planning processes in five German municipalities. The corpus provides annotations for each of these tasks which have not been available in German for the domain of public participation before either at all or in this scope and variety.
Anthology ID:
2022.lrec-1.308
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2874–2883
Language:
URL:
https://aclanthology.org/2022.lrec-1.308
DOI:
Bibkey:
Cite (ACL):
Julia Romberg, Laura Mark, and Tobias Escher. 2022. A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2874–2883, Marseille, France. European Language Resources Association.
Cite (Informal):
A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification (Romberg et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.308.pdf
Code
 juliaromberg/cimt-argument-concreteness-dataset +  additional community code