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Michael Wojatzki
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Books and Theses
- 2019
- [b1]Michael Wojatzki:
Computer-assisted understanding of stance in social media: formalizations, data creation, and prediction models. Essen University, Germany, 2019
Journal Articles
- 2015
- [j1]Jonas Braier, Katharina Lattenkamp, Benjamin Räthel, Sandra Schering, Michael Wojatzki, Benjamin Weyers:
Haptic 3D Surface Representation of Table-Based Data for People With Visual Impairments. ACM Trans. Access. Comput. 6(1): 1:1-1:35 (2015)
Conference and Workshop Papers
- 2019
- [c12]Huangpan Zhang, Michael Wojatzki, Tobias Horsmann, Torsten Zesch:
ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter. SemEval@NAACL-HLT 2019: 441-446 - [c11]Piush Aggarwal, Tobias Horsmann, Michael Wojatzki, Torsten Zesch:
LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness. SemEval@NAACL-HLT 2019: 678-682 - 2018
- [c10]Michael Wojatzki, Torsten Zesch:
Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty. KONVENS 2018: 69-79 - [c9]Michael Wojatzki, Tobias Horsmann, Darina Gold, Torsten Zesch:
Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments. KONVENS 2018: 110-120 - [c8]Michael Wojatzki, Saif M. Mohammad, Torsten Zesch, Svetlana Kiritchenko:
Quantifying Qualitative Data for Understanding Controversial Issues. LREC 2018 - [c7]Michael Wojatzki, Torsten Zesch, Saif M. Mohammad, Svetlana Kiritchenko:
Agree or Disagree: Predicting Judgments on Nuanced Assertions. *SEM@NAACL-HLT 2018: 214-224 - 2017
- [c6]Darina Benikova, Michael Wojatzki, Torsten Zesch:
What Does This Imply? Examining the Impact of Implicitness on the Perception of Hate Speech. GSCL 2017: 171-179 - [c5]Michael Wojatzki, Torsten Zesch:
Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence. IberEval@SEPLN 2017: 178-184 - 2016
- [c4]Michael Wojatzki, Oren Melamud, Torsten Zesch:
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. BEA@NAACL-HLT 2016: 172-181 - [c3]Michael Wojatzki, Torsten Zesch:
Stance-based Argument Mining - Modeling Implicit Argumentation Using Stance. KONVENS 2016 - [c2]Michael Wojatzki, Torsten Zesch:
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers. SemEval@NAACL-HLT 2016: 428-433 - 2015
- [c1]Torsten Zesch, Michael Wojatzki, Dirk Scholten-Akoun:
Task-Independent Features for Automated Essay Grading. BEA@NAACL-HLT 2015: 224-232
Informal and Other Publications
- 2017
- [i1]Björn Ross, Michael Rist, Guillermo Carbonell, Benjamin Cabrera, Nils Kurowsky, Michael Wojatzki:
Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis. CoRR abs/1701.08118 (2017)
Coauthor Index
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