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 with the affiliation: Innopolis University

Paper title Paper author Affiliation Conference Year Tasks
Efficiency Of Text Readability Features In Russian Academic Texts url annotation Solovev V. D.
Ivanov V. V.
Solnyshkina M. I.
Kazan (Volga Region) Federal University, Kazan, Russia
Innopolis University
Dialogue 2018
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Автоматическое реферирование
Deep Embeddings For Brand Detection In Product Titles url annotation Kholodov Y.
Kulagin A.
Gavrilin Y.
Innopolis University
AIST 2019
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Rurebus-2020 Shared Task: Russian Relation Extraction For Business url annotation Tutubalina E. V.
Artemova E. L.
Ivanov V. V.
Batura T. V.
Ivanin V. A.
Sarkisyan V. V.
Smurov I. M.
Kazan (Volga Region) Federal University, Kazan, Russia
National Research University Higher School of Economics
Moscow Institute of Physics and Technology, Moscow, Russia
Innopolis University
ABBYY, Moscow, Russia
Novosibirsk State University, Novosibirsk, Russia
Lomonosov Moscow State University, Moscow, Russia
Dialogue 2020
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование

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