Space-separated query words: ?One main thing: this is not a full-text word search. It is based on the principle of distributional semantics: having a query vector compiled from the query words, we use cosine distance to find the nearest texts in a bilingual vector space — this is how we search for papers that are close seamantically, regardless of the language and the presence of specific words. If you want to find papers that contain specific words in the title, use the metadata search below.

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Papers by: Davydova T.

Paper title Paper author Affiliation Conference Year Tasks
Contrast And Comparison Relations In Rst Framework: The Case Of Russian url annotation Toldova S. Ju.
Pisarevskaya Dina
Kobozeva M.
Davydova T.
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
National Research University Higher School of Economics
Dialogue 2019
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Discourse Features Of Blogs In Subcorpus Of Russian Ru-Rstreebank1 url annotation Toldova S. Ju.
Pisarevskaya Dina
Kobozeva M.
Davydova T.
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
National Research University Higher School of Economics
Dialogue 2020
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
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RusNLP by https://nlp.rusvectores.org is licensed under a
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