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Ralf Krestel
Ralf Krestel
ZBW - Leibniz Information Centre for Economics & Kiel University
Bestätigte E-Mail-Adresse bei zbw.eu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Latent dirichlet allocation for tag recommendation
R Krestel, P Fankhauser, W Nejdl
Proceedings of the third ACM conference on Recommender systems, 61-68, 2009
7102009
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
2962018
Explainable AI under contract and tort law: legal incentives and technical challenges
P Hacker, R Krestel, S Grundmann, F Naumann
Artificial Intelligence and Law 28, 415-439, 2020
1592020
A Survey on Deep Learning for Patent Analysis
R Krestel, R Chikkamath, C Hewel, J Risch
World Patent Information 65, 102035, 2021
1102021
Aggression identification using deep learning and data augmentation
J Risch, R Krestel
Proceedings of the first workshop on trolling, aggression and cyberbullying …, 2018
1062018
Toxic comment detection in online discussions
J Risch, R Krestel
Deep learning-based approaches for sentiment analysis, 85-109, 2020
1012020
Minding the source: Automatic tagging of reported speech in newspaper articles
R Krestel, S Bergler, R Witte
Proceedings of the International Language Resources and Evaluation …, 2008
862008
Bagging BERT models for robust aggression identification
J Risch, R Krestel
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying …, 2020
802020
Domain-specific word embeddings for patent classification
J Risch, R Krestel
Data Technologies and Applications 53 (1), 108-122, 2019
802019
Personalized topic-based tag recommendation
R Krestel, P Fankhauser
Neurocomputing 76 (1), 61-70, 2012
802012
Do embeddings actually capture knowledge graph semantics?
N Jain, JC Kalo, WT Balke, R Krestel
The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021
732021
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model.
J Risch, A Stoll, M Ziegele, R Krestel
KONVENS, 2019
552019
Tag recommendation using probabilistic topic models
R Krestel, P Fankhauser
ECML PKDD Discovery Challenge 2009, 131, 2009
542009
Identifying political bias in news articles
K Lazaridou, R Krestel
Bulletin of the IEEE TCDL 12 (2), 1-12, 2016
512016
Why finding entities in Wikipedia is difficult, sometimes
G Demartini, CS Firan, T Iofciu, R Krestel, W Nejdl
Information Retrieval 13, 534-567, 2010
512010
Offensive language detection explained
J Risch, R Ruff, R Krestel
Proceedings of the second workshop on trolling, aggression and cyberbullying …, 2020
482020
Using co-occurrence of tags and resources to identify spammers
R Krestel, L Chen
Proceedings of 2008 ECML/PKDD Discovery Challenge Workshop, 38-46, 2008
482008
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
422018
ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data
D Heller, R Krestel, U Ohler, M Vingron, A Marsico
Nucleic acids research 45 (19), 11004-11018, 2017
412017
Diversifying product review rankings: Getting the full picture
R Krestel, N Dokoohaki
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2011
402011
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