| The first cross-lingual challenge on recognition, normalization and matching of named entities in Slavic languages J Piskorski, L Pivovarova, J Šnajder, J Steinberger, R Yangarber Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, 2017 | 31 | 2017 |
| The second cross-lingual challenge on recognition, normalization, classification, and linking of named entities across Slavic languages J Piskorski, L Laskova, M Marcińczuk, L Pivovarova, P Přibáň, ... Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019 | 30 | 2019 |
| Capturing evolution in word usage: just add more clusters? M Martinc, S Montariol, E Zosa, L Pivovarova Companion Proceedings of the Web Conference 2020, 343-349, 2020 | 29 | 2020 |
| Scalable and interpretable semantic change detection S Montariol, M Martinc, L Pivovarova Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 22 | 2021 |
| Evaluation of collocation extraction methods for the Russian language L Pivovarova, D Kormacheva, M Kopotev Quantitative Approaches to the Russian Language, 137-157, 2017 | 21 | 2017 |
| The nature of collocations in the Russian language. The experience of automatic extraction and classification of the material of news texts EV Yagunova, LM Pivovarova Automatic Documentation and Mathematical Linguistics 44 (3), 164-175, 2010 | 21 | 2010 |
| CoCoCo: Online Extraction of Russian Multiword Expressions M Kopotev, L Escoter, D Kormacheva, M Pierce, L Pivovarova, ... BSNLP 2015, 43, 2015 | 16* | 2015 |
| ParaPhraser: Russian paraphrase corpus and shared task L Pivovarova, E Pronoza, E Yagunova, A Pronoza Conference on artificial intelligence and natural language, 211-225, 2017 | 15 | 2017 |
| Supervised classification using balanced training M Du, M Pierce, L Pivovarova, R Yangarber International Conference on Statistical Language and Speech Processing, 147-158, 2014 | 15 | 2014 |
| Discovery team at SemEval-2020 Task 1: Context-sensitive embeddings not always better than static for semantic change detection M Martinc, S Montariol, E Zosa, L Pivovarova Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020 | 14 | 2020 |
| Event representation across genre L Pivovarova, S Huttunen, R Yangarber Workshop on Events: Definition, Detection, Coreference, and Representation …, 2013 | 14 | 2013 |
| Automatic detection of stable grammatical features in n-grams M Kopotev, L Pivovarova, N Kochetkova, R Yangarber Unknown host publication, 2013 | 14 | 2013 |
| Adapting the PULS Event Extraction Framework to Analyze Russian Text L Pivovarova, M Du, R Yangarber | 13 | 2013 |
| RuShiftEval: a shared task on semantic shift detection for Russian A Kutuzov, L Pivovarova Computational linguistics and intellectual technologies: Papers from the …, 2021 | 12 | 2021 |
| Topic modelling discourse dynamics in historical newspapers J Marjanen, E Zosa, S Hengchen, L Pivovarova, M Tolonen arXiv preprint arXiv:2011.10428, 2020 | 12 | 2020 |
| Clustering of Russian adjective-noun constructions using word embeddings A Kutuzov, E Kuzmenko, L Pivovarova Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, 2017 | 12 | 2017 |
| Automatic collocation extraction and classification of automatically obtained bigrams D Kormacheva, L Pivovarova, M Kopotev University of Tübingen Proceedings, 2014 | 12 | 2014 |
| Clustering ideological terms in historical newspaper data with diachronic word embeddings J Marjanen, L Pivovarova, E Zosa, J Kurunmäki HistoInformatics 2019: International Workshop on Computational History 2019, 2019 | 10 | 2019 |
| Grouping business news stories based on salience of named entities L Escoter, L Pivovarova, M Du, A Katiskaya, R Yangarber EACL, 2017 | 9 | 2017 |
| Grammatical profiling for semantic change detection M Giulianelli, A Kutuzov, L Pivovarova arXiv preprint arXiv:2109.10397, 2021 | 8 | 2021 |
Roman YangarberAssociate Professor, University of HelsinkiVerified email at helsinki.fi
