Julian Risch
Julian Risch
Hasso Plattner Institute, University of Potsdam | deepset.ai
Verified email at hpi.de - Homepage
Title
Cited by
Cited by
Year
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
B van Aken, J Risch, R Krestel, A Löser
Proceedings of the 2nd Workshop on Abusive Language Online (ALW) co-located …, 2018
1122018
Aggression Identification Using Deep Learning and Data Augmentation
J Risch, R Krestel
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying …, 2018
542018
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model
J Risch, A Stoll, M Ziegele, R Krestel
Proceedings of the 15th Conference on Natural Language Processing (KONVENS …, 2019
272019
Domain-specific word embeddings for patent classification
J Risch, R Krestel
Data Technologies and Applications, 108-122, 2019
262019
Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom
J Risch, R Krestel
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying …, 2018
262018
Bagging BERT Models for Robust Aggression Identification
J Risch, R Krestel
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020
242020
Approximate Discovery of Functional Dependencies for Large Datasets
T Bleifuß, S Bülow, J Frohnhofen, J Risch, G Wiese, S Kruse, ...
Proceedings of the 25th ACM International on Conference on Information and …, 2016
202016
Toxic Comment Detection in Online Discussions
J Risch, R Krestel
Deep Learning-Based Approaches for Sentiment Analysis, 85-109, 2020
192020
Fine-Grained Classification of Offensive Language
J Risch, E Krebs, A Löser, A Riese, R Krestel
14th Conference on Natural Language Processing KONVENS 2018, 2018
142018
Offensive Language Detection Explained
J Risch, R Ruff, R Krestel
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020
112020
Prediction for the Newsroom: Which Articles Will Get the Most Comments?
C Ambroselli, J Risch, R Krestel, A Loos
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
102018
Learning Patent Speak: Investigating Domain-Specific Word Embeddings
J Risch, R Krestel
Proceedings of the Thirteenth International Conference on Digital …, 2018
92018
Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions
J Risch, R Krestel
Proceedings of the Fourteenth International AAAI Conference on Web and …, 2020
72020
Ergonomic Interaction for Touch Floors
D Schmidt, J Frohnhofen, S Knebel, F Meinel, M Perchyk, J Risch, ...
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015
72015
Hierarchical Document Classification as a Sequence Generation Task
J Risch, S Garda, R Krestel
Proceedings of the Joint Conference on Digital Libraries (JCDL), 147-155, 2020
62020
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, 1-12, 2021
52021
What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papers
J Risch, R Krestel
Proceedings of the International Conference on Theory and Practice of …, 2017
52017
A survey on deep learning for patent analysis
R Krestel, R Chikkamath, C Hewel, J Risch
World Patent Information 65, 102035, 2021
42021
Book Recommendation Beyond the Usual Suspects: Embedding Book Plots Together with Place and Time Information
J Risch, S Garda, R Krestel
Proceedings of the 20th International Conference On Asia-Pacific Digital …, 2018
4*2018
My Approach= Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections
J Risch, R Krestel
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018
42018
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