Abstract
We present a dataset consisting of German offensive and non-offensive tweets, annotated for speech acts. These 600 tweets are a subset of the dataset by Struß et al. (2019) and comprises three levels of annotation, i.e., six coarse-grained speech acts, 23 fine-grained speech acts and 14 different sentence types. Furthermore, we provide an evaluation in both qualitative and quantitative terms. The dataset is made publicly available under a CC-BY-4.0 license.- Anthology ID:
- 2022.lrec-1.513
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- 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, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 4799–4807
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.513
- DOI:
- Cite (ACL):
- Melina Plakidis and Georg Rehm. 2022. A Dataset of Offensive German Language Tweets Annotated for Speech Acts. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4799–4807, Marseille, France. European Language Resources Association.
- Cite (Informal):
- A Dataset of Offensive German Language Tweets Annotated for Speech Acts (Plakidis & Rehm, LREC 2022)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.lrec-1.513.pdf