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Julian Risch
Julian Risch
deepset | PhD from Hasso Plattner Institute, University of Potsdam
Dirección de correo verificada de deepset.ai - Página principal
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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
2672018
Aggression Identification Using Deep Learning and Data Augmentation
J Risch, R Krestel
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying …, 2018
952018
A survey on deep learning for patent analysis
R Krestel, R Chikkamath, C Hewel, J Risch
World Patent Information 65, 102035, 2021
802021
Toxic Comment Detection in Online Discussions
J Risch, R Krestel
Deep Learning-Based Approaches for Sentiment Analysis, 85-109, 2020
752020
Bagging BERT Models for Robust Aggression Identification
J Risch, R Krestel
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020
732020
Domain-specific word embeddings for patent classification
J Risch, R Krestel
Data Technologies and Applications, 108-122, 2019
682019
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
552021
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
532019
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
412018
Offensive Language Detection Explained
J Risch, R Ruff, R Krestel
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020
382020
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
362021
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
282016
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
242020
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
232021
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
222018
PatentMatch: A Dataset for Matching Patent Claims & Prior Art
J Risch, N Alder, C Hewel, R Krestel
arXiv preprint arXiv:2012.13919, 2020
202020
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
202020
Learning Patent Speak: Investigating Domain-Specific Word Embeddings
J Risch, R Krestel
Proceedings of the Thirteenth International Conference on Digital …, 2018
172018
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
162021
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
132018
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Artículos 1–20