Lidia Pivovarova
Cited by
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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
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
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
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
Evaluation of collocation extraction methods for the Russian language
L Pivovarova, D Kormacheva, M Kopotev
Quantitative Approaches to the Russian Language, 137-157, 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
CoCoCo: Online Extraction of Russian Multiword Expressions
M Kopotev, L Escoter, D Kormacheva, M Pierce, L Pivovarova, ...
BSNLP 2015, 43, 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
Supervised classification using balanced training
M Du, M Pierce, L Pivovarova, R Yangarber
International Conference on Statistical Language and Speech Processing, 147-158, 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
Event representation across genre
L Pivovarova, S Huttunen, R Yangarber
Workshop on Events: Definition, Detection, Coreference, and Representation …, 2013
Automatic detection of stable grammatical features in n-grams
M Kopotev, L Pivovarova, N Kochetkova, R Yangarber
Unknown host publication, 2013
Adapting the PULS Event Extraction Framework to Analyze Russian Text
L Pivovarova, M Du, R Yangarber
RuShiftEval: a shared task on semantic shift detection for Russian
A Kutuzov, L Pivovarova
Computational linguistics and intellectual technologies: Papers from the …, 2021
Topic modelling discourse dynamics in historical newspapers
J Marjanen, E Zosa, S Hengchen, L Pivovarova, M Tolonen
arXiv preprint arXiv:2011.10428, 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
Automatic collocation extraction and classification of automatically obtained bigrams
D Kormacheva, L Pivovarova, M Kopotev
University of Tübingen Proceedings, 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
Grouping business news stories based on salience of named entities
L Escoter, L Pivovarova, M Du, A Katiskaya, R Yangarber
EACL, 2017
Grammatical profiling for semantic change detection
M Giulianelli, A Kutuzov, L Pivovarova
arXiv preprint arXiv:2109.10397, 2021
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