Automatically Identifying Online Grooming Chats Using CNN-based Feature Extraction

Svenja Preuß, Luna Pia Bley, Tabea Bayha, Vivien Dehne, Alessa Jordan, Sophie Reimann, Fina Roberto, Josephine Romy Zahm, Hanna Siewerts, Dirk Labudde, Michael Spranger


Anthology ID:
2021.konvens-1.12
Volume:
Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)
Month:
6--9 September
Year:
2021
Address:
Düsseldorf, Germany
Editors:
Kilian Evang, Laura Kallmeyer, Rainer Osswald, Jakub Waszczuk, Torsten Zesch
Venue:
KONVENS
SIG:
Publisher:
KONVENS 2021 Organizers
Note:
Pages:
137–146
Language:
URL:
https://aclanthology.org/2021.konvens-1.12
DOI:
Bibkey:
Cite (ACL):
Svenja Preuß, Luna Pia Bley, Tabea Bayha, Vivien Dehne, Alessa Jordan, Sophie Reimann, Fina Roberto, Josephine Romy Zahm, Hanna Siewerts, Dirk Labudde, and Michael Spranger. 2021. Automatically Identifying Online Grooming Chats Using CNN-based Feature Extraction. In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), pages 137–146, Düsseldorf, Germany. KONVENS 2021 Organizers.
Cite (Informal):
Automatically Identifying Online Grooming Chats Using CNN-based Feature Extraction (Preuß et al., KONVENS 2021)
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PDF:
https://aclanthology.org/2021.konvens-1.12.pdf