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Lidia Pivovarova
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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
502021
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
472020
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
382019
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
382017
RuShiftEval: a shared task on semantic shift detection for Russian
A Kutuzov, L Pivovarova
Computational linguistics and intellectual technologies:, 2021
322021
Evaluation of collocation extraction methods for the Russian language
L Pivovarova, D Kormacheva, M Kopotev
Quantitative approaches to the Russian language, 137-157, 2017
272017
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
262010
Topic modelling discourse dynamics in historical newspapers
J Marjanen, E Zosa, S Hengchen, L Pivovarova, M Tolonen
arXiv preprint arXiv:2011.10428, 2020
232020
CoCoCo: Online Extraction of Russian Multiword Expressions
M Kopotev, L Escoter, D Kormacheva, M Pierce, L Pivovarova, ...
BSNLP 2015, 43, 2015
23*2015
ParaPhraser: Russian paraphrase corpus and shared task
L Pivovarova, E Pronoza, E Yagunova, A Pronoza
Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St …, 2018
202018
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
192020
Slav-NER: the 3rd cross-lingual challenge on recognition, normalization, classification, and linking of named entities across Slavic languages
J Piskorski, B Babych, Z Kancheva, O Kanishcheva, M Lebedeva, ...
172021
Automatic collocation extraction and classification of automatically obtained bigrams
D Kormacheva, L Pivovarova, M Kopotev
University of Tübingen Proceedings, 2014
172014
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
152019
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
152017
Supervised classification using balanced training
M Du, M Pierce, L Pivovarova, R Yangarber
Statistical Language and Speech Processing: Second International Conference …, 2014
152014
Event representation across genre
L Pivovarova, S Huttunen, R Yangarber
Workshop on Events: Definition, Detection, Coreference, and Representation …, 2013
142013
Automatic detection of stable grammatical features in n-grams
M Kopotev, L Pivovarova, NA Kochetkova, R Yangarber
NAACL HLT 2013 9th Workshop on Multiword Expressions MWE 2013 Proceedings of …, 2013
142013
Grammatical profiling for semantic change detection
M Giulianelli, A Kutuzov, L Pivovarova
arXiv preprint arXiv:2109.10397, 2021
132021
Three-part diachronic semantic change dataset for Russian
A Kutuzov, L Pivovarova
arXiv preprint arXiv:2106.08294, 2021
132021
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