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Michael Wiegand
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A survey on hate speech detection using natural language processing
A Schmidt, M Wiegand
Proceedings of the Fifth International Workshop on Natural Language …, 2019
10162019
A survey on the role of negation in sentiment analysis
M Wiegand, A Balahur, B Roth, D Klakow, A Montoyo
Proceedings of the workshop on negation and speculation in natural language …, 2010
3372010
Overview of the GermEval 2018 Shared Task on the Identification of Offensive Language
M Wiegand, M Siegel, J Ruppenhofer
14th Conference on Natural Language Processing KONVENS 2018, 2018
2582018
Detection of Abusive Language: the Problem of Biased Datasets
M Wiegand, J Ruppenhofer, T Kleinbauer
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1802019
Inducing a Lexicon of Abusive Words–a Feature-Based Approach
M Wiegand, J Ruppenhofer, A Schmidt, C Greenberg
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
1242018
Overview of GermEval Task 2, 2019 shared task on the identification of offensive language
JM Struß, M Siegel, J Ruppenhofer, M Wiegand, M Klenner
852019
A survey of noise reduction methods for distant supervision
B Roth, T Barth, M Wiegand, D Klakow
Proceedings of the 2013 workshop on Automated knowledge base construction, 73-78, 2013
662013
Effective slot filling based on shallow distant supervision methods
B Roth, T Barth, M Wiegand, M Singh, D Klakow
arXiv preprint arXiv:1401.1158, 2014
622014
Convolution kernels for opinion holder extraction
M Wiegand, D Klakow
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
622010
MLSA-A Multi-layered Reference Corpus for German Sentiment Analysis.
S Clematide, S Gindl, M Klenner, S Petrakis, R Remus, J Ruppenhofer, ...
LREC, 3551-3556, 2012
482012
Overview of the GermEval 2021 shared task on the identification of toxic, engaging, and fact-claiming comments
J Risch, A Stoll, L Wilms, M Wiegand
Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic …, 2021
302021
Implicitly Abusive Language–What does it actually look like and why are we not getting there?
M Wiegand, J Ruppenhofer, E Eder
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
282021
Comparing methods for deriving intensity scores for adjectives
J Ruppenhofer, M Wiegand, J Brandes
Proceedings of the 14th Conference of the European Chapter of the …, 2014
282014
The Alyssa System at TREC QA 2007: Do We Need Blog06?
D Shen, M Wiegand, A Merkel, S Kazalski, S Hunsicker, JL Leidner, ...
272007
Web-based relation extraction for the food domain
M Wiegand, B Roth, D Klakow
International Conference on Application of Natural Language to Information …, 2012
262012
Overview of the CLEF–2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
P Nakov, A Barrón-Cedeño, G da San Martino, F Alam, JM Struß, T Mandl, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2022
252022
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
M Schulder, M Wiegand, J Ruppenhofer, B Roth
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
212017
Generalization methods for in-domain and cross-domain opinion holder extraction
M Wiegand, D Klakow
Proceedings of the 13th Conference of the European Chapter of the …, 2012
20*2012
Overview of the CLEF-2022 CheckThat! lab task 3 on fake news detection
J Köhler, GK Shahi, JM Struß, M Wiegand, M Siegel, T Mandl, M Schütz
Working Notes of CLEF, 2022
192022
Opinion Holder and Target Extraction on Opinion Compounds–A Linguistic Approach
M Wiegand, C Bocionek, J Ruppenhofer
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
172016
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