| 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 | 536 | 2016 |
| 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 | 96 | 2015 |
| 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 | 74 | 2017 |
| 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 | 46 | 2016 |
| What does this imply? Examining the impact of implicitness on the perception of hate speech D Benikova, M Wojatzki, T Zesch Language Technologies for the Challenges of the Digital Age: 27th …, 2018 | 41 | 2018 |
| Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments M Wojatzki, T Horsmann, D Gold, T Zesch | 30* | |
| Stance-based Argument Mining–Modeling Implicit Argumentation Using Stance M Wojatzki, T Zesch Proceedings of KONVENS, 2016 | 21 | 2016 |
| 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 | 19 | 2019 |
| 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 | 18 | 2014 |
| Quantifying Qualitative Data for Understanding Controversial Issues. M Wojatzki, SM Mohammad, T Zesch, S Kiritchenko Eleventh International Conference on Language Resources and Evaluation …, 2018 | 17 | 2018 |
| 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 | 12 | 2016 |
| 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 | 8 | 2018 |
| 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 | 6 | 2017 |
| 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 | 5 | 2019 |
| 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 | 1 | 2016 |
| 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 | | |
| Proceedings of the GermEval 2017–Shared Task on Aspect-based Sentiment in Social Media Customer Feedback M Wojatzki, E Ruppert, T Zesch, C Biemann | | |
Torsten ZeschProfessor of Computational Linguistics, Fernuniversität in Hagenfernuni-hagen.de의 이메일 확인됨