TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Struß, Julia Maria
A1  - Siegel, Melanie
A1  - Ruppenhofer, Josef
A1  - Wiegand, Michael
A1  - Klenner, Manfred
T1  - Overview of GermEval Task 2, 2019 shared task on the identification of offensive language
T2  - Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universität Erlangen-Nürnberg
N2  - We present the second edition of the GermEval Shared Task on the Identification of Offensive Language. This shared task deals with the classification of German tweets from Twitter. Two subtasks were continued from the first edition, namely a coarse-grained binary classification task and a fine-grained multi-class classification task. As a novel subtask, we introduce the classification of offensive tweets as explicit or implicit.
The shared task had 13 participating groups submitting 28 runs for the coarse-grained
task, another 28 runs for the fine-grained task, and 17 runs for the implicit-explicit
task.
We evaluate the results of the systems submitted to the shared task. The shared task homepage can be found at https://projects.fzai.h-da.de/iggsa/
KW  - Deutsch
KW  - Beleidigung
KW  - Social Media
KW  - Twitter <Softwareplattform>
KW  - Tweet
KW  - Automatische Spracherkennung
Y1  - 2019
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93197
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93197
UR  - https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/germeval/GermEvalSharedTask2019Iggsa.pdf
SP  - 352
EP  - 363
PB  - German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg
CY  - München [u.a.]
ER  -