| 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 | 248 | 2018 |
| Aggression Identification Using Deep Learning and Data Augmentation J Risch, R Krestel Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying …, 2018 | 92 | 2018 |
| A survey on deep learning for patent analysis R Krestel, R Chikkamath, C Hewel, J Risch World Patent Information 65, 102035, 2021 | 69 | 2021 |
| Bagging BERT Models for Robust Aggression Identification J Risch, R Krestel Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020 | 67 | 2020 |
| Toxic Comment Detection in Online Discussions J Risch, R Krestel Deep Learning-Based Approaches for Sentiment Analysis, 85-109, 2020 | 67 | 2020 |
| Domain-specific word embeddings for patent classification J Risch, R Krestel Data Technologies and Applications, 108-122, 2019 | 65 | 2019 |
| 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 | 48 | 2021 |
| 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 | 47 | 2019 |
| 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 | 38 | 2018 |
| Offensive Language Detection Explained J Risch, R Ruff, R Krestel Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020 | 30 | 2020 |
| Semantic answer similarity for evaluating question answering models J Risch, T Möller, J Gutsch, M Pietsch Proceedings of the 3rd Workshop on Machine Reading for Question Answering …, 2021 | 25 | 2021 |
| 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 | 25 | 2016 |
| 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 | 21 | 2018 |
| GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval T Möller, J Risch, M Pietsch Proceedings of the 3rd Workshop on Machine Reading for Question Answering …, 2021 | 18 | 2021 |
| PatentMatch: A Dataset for Matching Patent Claims & Prior Art J Risch, N Alder, C Hewel, R Krestel arXiv preprint arXiv:2012.13919, 2020 | 18 | 2020 |
| 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 | 18 | 2020 |
| 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 | 16 | 2020 |
| Learning Patent Speak: Investigating Domain-Specific Word Embeddings J Risch, R Krestel Proceedings of the Thirteenth International Conference on Digital …, 2018 | 16 | 2018 |
| Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models B Kostić, J Risch, T Möller Proceedings of the 3rd Workshop on Machine Reading for Question Answering …, 2021 | 13 | 2021 |
| 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 | 13 | 2018 |
Ralf KrestelZBW - Leibniz Information Centre for Economics & Kiel UniversityVerified email at zbw.eu
