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: Droganova K. A.

Paper title Paper author Affiliation Conference Year Tasks
Agrr-2019: Automatic Gapping Resolution For Russian url annotation Shavrina T. O.
Smurov I. M.
Ponomareva M.
Droganova K. A.
ABBYY, Moscow, Russia
National Research University Higher School of Economics
Charles University in Prague, Prague, Czech Republic
Dialogue 2019
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Morphorueval-2017: An Evaluation Track For The Automatic Morphological Analysis Methods For Russian url annotation Fenogenova A. S.
Alexeeva S. V.
Granovskij D. V
Lyashevskaya O. N.
Shavrina T. O.
Droganova K. A.
Bocharov V. V.
Sorokin A. A.
V. V. Vinogradov Russian Language Institute RAS, Moscow, Russia
National Research University Higher School of Economics
Moscow Institute of Physics and Technology, Moscow, Russia
General Internet Corpora of Russian, Moscow, Russia
OpenCorpora
Research and Development Institute KVANT, Moscow, Russia
Lomonosov Moscow State University, Moscow, Russia
Yandex, Moscow, Russia
Charles University in Prague, Prague, Czech Republic
Dialogue 2017
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Автоматическое реферирование
Building Dependency Parsing Model For Russian With Maltparser And Mystem Tagset url annotation Droganova K. A.
National Research University Higher School of Economics
AINL 2015
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика

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