| 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 |
| 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 |
| Evaluation of collocation extraction methods for the Russian language L Pivovarova, D Kormacheva, M Kopotev Quantitative Approaches to the Russian Language, 137-157, 2017 | 14 | 2017 |
| PULS: natural language processing for business intelligence M Du, L Pivovarova, R Yangarber Workshop on Human Language Technology and Intelligent Applications, 2016 | 13 | 2016 |
| Event representation across genre L Pivovarova, S Huttunen, R Yangarber Workshop on Events: Definition, Detection, Coreference, and Representation …, 2013 | 13 | 2013 |
| 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 | 12 | 2017 |
| 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 | 12 | 2017 |
| Automatic collocation extraction and classification of automatically obtained bigrams D Kormacheva, L Pivovarova, M Kopotev Proceedings Workshop on Computational, Cognitive, and Linguistic Approaches …, 2014 | 12 | 2014 |
| 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 | 11 | 2019 |
| CoCoCo: Online Extraction of Russian Multiword Expressions M Kopotev, L Escoter, D Kormacheva, M Pierce, L Pivovarova, ... BSNLP 2015, 43, 2015 | 11* | 2015 |
| Adapting the PULS Event Extraction Framework to Analyze Russian Text L Pivovarova, M Du, R Yangarber | 11 | 2013 |
| Automatic detection of stable grammatical features in n-grams M Kopotev, L Pivovarova, N Kochetkova, R Yangarber Unknown host publication, 2013 | 11 | 2013 |
| 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 | 9 | 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 | 9 | 2017 |
| Hcs at semeval-2017 task 5: Polarity detection in business news using convolutional neural networks L Pivovarova, L Escoter, A Klami, R Yangarber Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 7 | 2017 |
| Grouping business news stories based on salience of named entities L Escoter, L Pivovarova, M Du, A Katiskaya, R Yangarber EACL, 2017 | 6 | 2017 |
| Constructional generalization over Russian collocations M Kopotev, L Pivovarova, D Kormacheva Mémoires de la Société néophilologique de Helsinki, 2016 | 6 | 2016 |
| Combined analysis of news and Twitter messages M Du, J Kangasharju, O Karkulahti, L Pivovarova, R Yangarber Proceedings of the Joint Workshop on NLP&LOD and SWAIE: Semantic Web, Linked …, 2013 | 6 | 2013 |
| MDL-based Models for Transliteration Generation J Nouri, L Pivovarova, R Yangarber | 6 | 2013 |
| 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, 67-73, 2020 | 5 | 2020 |
Roman YangarberAssociate Professor, University of HelsinkiVerified email at helsinki.fi
