| OPT: Oslo—Potsdam—Teesside pipelining rules, rankers, and classifier ensembles for Shallow Discourse Parsing S Oepen, J Read, T Scheffler, U Sidarenka, M Stede, E Velldal, L Øvrelid 20th Conference on Computational Natural Language Learning, 2016 | 32 | 2016 |
| Rule-based normalization of German Twitter messages U Sidarenka, T Scheffler, M Stede Proc. of the GSCL Workshop Verarbeitung und Annotation von Sprachdaten aus …, 2013 | 32 | 2013 |
| Discourse segmentation of German texts U Sidarenka, A Peldszus, M Stede Journal for language technology and Computational Linguistics 30 (1), 71-98, 2015 | 19 | 2015 |
| PotTS: The Potsdam Twitter Sentiment Corpus. U Sidarenka LREC, 2016 | 18 | 2016 |
| Sentiment analysis of german twitter W Sidorenko arXiv preprint arXiv:1911.13062, 2019 | 12 | 2019 |
| Potts at germeval-2017 task b: Document-level polarity detection using hand-crafted svm and deep bidirectional lstm network U Sidarenka Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in …, 2017 | 8 | 2017 |
| Generating sentiment lexicons for German Twitter U Sidarenka, M Stede arXiv preprint arXiv:1610.09995, 2016 | 8 | 2016 |
| Applying rhetorical structure theory to Twitter conversations U Sidarenka, M Bisping, M Stede Proceedings of the Workshop on Identification and Annotation of Discourse …, 2015 | 5 | 2015 |
| PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks. U Sidarenka Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 4 | 2016 |
| a new approach to merging and querying parallel text annotations A Neumann, U Sidarenka, M Stede TextLink–Structuring Discourse in Multilingual Europe Second Action …, 2016 | | 2016 |
| Regelbasierte Normalisierung deutscher Tweets U Sidarenka, T Scheffler, M Stede Verarbeitung und Annotation von Sprachdaten aus Genres internetbasierter …, 0 | | |
