Search Results for author: Ekaterina Chernyak

Found 7 papers, 0 papers with code

Automated Word Stress Detection in Russian

no code implementations WS 2017 Maria Ponomareva, Kirill Milintsevich, Ekaterina Chernyak, Anatoly Starostin

In this study we address the problem of automated word stress detection in Russian using character level models and no part-speech-taggers.

Char-RNN for Word Stress Detection in East Slavic Languages

no code implementations WS 2019 Ekaterina Chernyak, Maria Ponomareva, Kirill Milintsevich

We explore how well a sequence labeling approach, namely, recurrent neural network, is suited for the task of resource-poor and POS tagging free word stress detection in the Russian, Ukranian, Belarusian languages.

POS POS Tagging +1

Creation and Evaluation of Datasets for Distributional Semantics Tasks in the Digital Humanities Domain

no code implementations7 Mar 2019 Gerhard Wohlgenannt, Ariadna Barinova, Dmitry Ilvovsky, Ekaterina Chernyak

Among the contributions are the evaluation of various word embedding techniques on the different task types, with the findings that even embeddings trained on small corpora perform well for example on the word intrusion task.

Word Embeddings Word Similarity

Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings

no code implementations4 Mar 2019 Gerhard Wohlgenannt, Ekaterina Chernyak, Dmitry Ilvovsky, Ariadna Barinova, Dmitry Mouromtsev

In this research, we manually create high-quality datasets in the digital humanities domain for the evaluation of language models, specifically word embedding models.

Relation Relation Extraction +1

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