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cimt-geographic-location-dataset

January 17, 2022 (corpus version 1.0)

About

This directory contains a dataset of public participation contributions coded with geographic location phrases and geo-locations. The dataset is part of the CIMT PartEval Corpus and is further described in the publication "A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification", to be published in Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022).

This work is based on research in the project CIMT/Partizipationsnutzen, which is funded by the Federal Ministry of Education and Research as part of its Social-Ecological Research funding priority, funding no. 01UU1904. (for more information, visit https://www.cimt-hhu.de/en/)


Content

Each of the folders (one per public participation process) contains the coded contributions of the respective dataset and the corresponding terms of use. The csv-file "dataset_location" contains the geo-locations (lat and lon) of the documents, the folder "files" contains the location phrase annotations (one WebAnno TSV 3.2-file per contribution). Location words are denoted with *, each span is identified by a unique number.

More detailed information on the definition of location phrases can be found in the paper.

More information on the WebAnno TSV File format can be found in the user guide at https://webanno.github.io/webanno/.


Citation

If you use the dataset, please cite the following paper:

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 13th Language Resources and Evaluation Conference (LREC 2022), Marseille, France. European Language Resources Association (ELRA).


License

The annotated data corpus is available under the Creative Commons CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0/).


Contact Person

Julia Romberg, julia.romberg@hhu.de, https://www.cimt-hhu.de/en/team/romberg/

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