| Align and copy: UZH at SIGMORPHON 2017 shared task for morphological reinflection P Makarov, T Ruzsics, S Clematide arXiv preprint arXiv:1707.01355, 2017 | 49 | 2017 |
| Imitation learning for neural morphological string transduction P Makarov, S Clematide arXiv preprint arXiv:1808.10701, 2018 | 38 | 2018 |
| Neural transition-based string transduction for limited-resource setting in morphology P Makarov, S Clematide Proceedings of the 27th International Conference on Computational …, 2018 | 36 | 2018 |
| UZH at CoNLL-SIGMORPHON 2018 shared task on universal morphological reinflection P Makarov, S Clematide Association for Computational Linguistics, 2018 | 28 | 2018 |
| Towards a dataset of automatically coded protest events from English-language newswire documents J Lorenzini, P Makarov, H Kriesi, B Wueest Amsterdam text analysis Conference, 2016 | 21 | 2016 |
| Poldem-protest dataset 30 European countries H Kriesi, B Wüest, J Lorenzini, P Makarov, M Enggist, K Rothenhäusler, ... Version, 2020 | 20* | 2020 |
| CLUZH at VarDial GDI 2017: Testing a variety of machine learning tools for the classification of Swiss German dialects S Clematide, P Makarov Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties …, 2017 | 20 | 2017 |
| Protest event analysis: Developing a semiautomated NLP approach J Lorenzini, H Kriesi, P Makarov, B Wüest American Behavioral Scientist 66 (5), 555-577, 2022 | 19 | 2022 |
| Simple and effective multi-sentence TTS with expressive and coherent prosody P Makarov, A Abbas, M Łajszczak, A Joly, S Karlapati, A Moinet, ... arXiv preprint arXiv:2206.14643, 2022 | 15 | 2022 |
| CLUZH at SIGMORPHON 2020 shared task on multilingual grapheme-to-phoneme conversion P Makarov, S Clematide Association for Computational Linguistics, 2020 | 15 | 2020 |
| Results of the second SIGMORPHON shared task on multilingual grapheme-to-phoneme conversion LFE Ashby, TM Bartley, S Clematide, L Del Signore, C Gibson, K Gorman, ... Proceedings of the 18th SIGMORPHON Workshop on Computational Research in …, 2021 | 14 | 2021 |
| CopyCat2: A single model for multi-speaker TTS and many-to-many fine-grained prosody transfer S Karlapati, P Karanasou, M Lajszczak, A Abbas, A Moinet, P Makarov, ... arXiv preprint arXiv:2206.13443, 2022 | 13 | 2022 |
| Automated acquisition of patterns for coding political event data: two case studies P Makarov Proceedings of the second joint SIGHUM workshop on computational linguistics …, 2018 | 11 | 2018 |
| UZH at TAC KBP 2017: Event Nugget Detection via Joint Learning with Softmax-Margin Objective. P Makarov, S Clematide TAC, 2017 | 10 | 2017 |
| Cluzh at sigmorphon 2022 shared tasks on morpheme segmentation and inflection generation S Wehrli, S Clematide, P Makarov Association for Computational Linguistics, 2022 | 9 | 2022 |
| Towards automated protest event analysis P Makarov, J Lorenzini, K Rothenhäusler, B Wüest University of Zurich, 2015 | 9 | 2015 |
| Semi-supervised contextual historical text normalization P Makarov, S Clematide Association for Computational Linguistics, 2020 | 7 | 2020 |
| Constructing an annotated corpus for protest event mining P Makarov, J Lorenzini, H Kriesi EMNLP, 2016 | 7 | 2016 |
| Design and methods of the semi-automated protest event analysis J Lorenzini, P Makarov, B Wuest, H Kriesi, S Hausmermann Contention in Times of Crisis: Recession and Political Protest in Thirty …, 2020 | 6 | 2020 |
| CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: variations on a baseline S Clematide, P Makarov Proceedings of the 18th SIGMORPHON Workshop on Computational Research in …, 2021 | 5 | 2021 |
Simon ClematideInstitute of Computational LinguisticsDirección de correo verificada de uzh.ch
