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Michael Wojatzki
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Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
B Ross, M Rist, G Carbonell, B Cabrera, N Kurowsky, M Wojatzki
NLP4CMC III: Proceedings of the 3rd Workshop on Natural Language Processing …, 2016
3832016
Task-Independent Features for Automated Essay Grading
T Zesch, M Wojatzki, D Scholten-Akoun
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building …, 2015
692015
GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
M Wojatzki, E Ruppert, S Holschneider, T Zesch, C Biemann
Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in …, 2017
522017
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
M Wojatzki, T Zesch
Proceedings of SemEval, 428-433, 2016
332016
What does this imply? Examining the impact of implicitness on the perception of hate speech
D Benikova, M Wojatzki, T Zesch
International Conference of the German Society for Computational Linguistics …, 2017
292017
Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments
M Wojatzki, T Horsmann, D Gold, T Zesch
19
Stance-based Argument Mining–Modeling Implicit Argumentation Using Stance
M Wojatzki, T Zesch
Proceedings of KONVENS, 2016
182016
LTL-UDE at SemEval-2019 Task 6: BERT and two-vote classification for categorizing offensiveness
P Aggarwal, T Horsmann, M Wojatzki, T Zesch
Proceedings of the 13th International Workshop on Semantic Evaluation, 678-682, 2019
162019
Haptic 3d surface representation of table-based data for people with visual impairments
J Braier, K Lattenkamp, B Räthel, S Schering, M Wojatzki, B Weyers
ACM Transactions on Accessible Computing (TACCESS) 6 (1), 1-35, 2014
152014
Quantifying Qualitative Data for Understanding Controversial Issues.
M Wojatzki, SM Mohammad, T Zesch, S Kiritchenko
Eleventh International Conference on Language Resources and Evaluation …, 2018
142018
Measuring the reliability of hate speech annotations: The case of the European refugee crisis. arXiv. org
B Ross, M Rist, G Carbonell, B Cabrera, N Kurowsky, M Wojatzki
102017
Agree or Disagree: Predicting Judgments on Nuanced Assertions
M Wojatzki, T Zesch, SM Mohammad, S Kiritchenko
Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018
72018
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises
M Wojatzki, O Melamud, T Zesch
Proceedings of 11th Workshop on Innovative Use of NLP for Building …, 2016
62016
Neural, non-neural and hybrid stance detection in tweets on catalan independence
M Wojatzki, T Zesch
Proceedings of the Second Workshop on Evaluation of Human Language …, 2017
52017
ltl. uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter
H Zhang, M Wojatzki, T Horsmann, T Zesch
Proceedings of the 13th International Workshop on Semantic Evaluation, 441-446, 2019
42019
Validating bundled gap filling–Empirical evidence for ambiguity reduction and language proficiency testing capabilities
N Meyer, M Wojatzki, T Zesch
Proceedings of the joint workshop on NLP for Computer Assisted Language …, 2016
12016
Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty
M Wojatzki, T Zesch
1*
Computer-assisted Understanding of Stance in Social Media: Formalizations, Data Creation, and Prediction Models
M Wojatzki
University of Duisburg-Essen, 2019
2019
Agree or Disagree: Predicting Judgments on Nuanced Assertions
SM Mohammad, S Kiritchenko, M Wojatzki, T Zesch
Quantifying Qualitative Data for Understanding Controversial Issues
SM Mohammad, S Kiritchenko, M Wojatzki, T Zesch
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