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Overview of the GermEval 2018 Shared Task on the Identification of Offensive Language

  • We present the pilot edition of the GermEval Shared Task on the Identification of Offensive Language. This shared task deals with the classification of German tweets from Twitter. It comprises two tasks, a coarse-grained binary classification task and a fine-grained multi-class classification task. The shared task had 20 participants submitting 51 runs for the coarse-grained task and 25 runs for the fine-grained task. Since this is a pilot task, we describe the process of extracting the raw-data for the data collection and the annotation schema. We evaluate the results of the systems submitted to the shared task. The shared task homepage can be found at https://projects.cai. fbi.h-da.de/iggsa/

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Metadaten
Author:Michael Wiegand, Melanie Siegel, Josef Ruppenhofer
URN:urn:nbn:de:bsz:mh39-84935
URL:https://www.austriaca.at/8435-5
ISBN:978-3-7001-8435-5
Parent Title (English):Proceedings of GermEval 2018, 14th Conference on Natural Language Processing (KONVENS 2018), Vienna, Austria – September 21, 2018
Publisher:Austrian Academy of Sciences
Place of publication:Vienna, Austria
Document Type:Part of a Book
Language:English
Year of first Publication:2018
Date of Publication (online):2019/02/13
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
GND Keyword:Automatische Sprachverarbeitung; Beleidigung; Deutsch; Social Media; Twitter
First Page:1
Last Page:10
DDC classes:400 Sprache / 430 Deutsch
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Licence (German):Es gilt das UrhG