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: Sysoev A. A.

Paper title Paper author Affiliation Conference Year Tasks
Deep Jedi: Deep Joint Entity Disambiguation To Wikipedia For Russian url annotation Sysoev A. A.
Nikishina I.
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
National Research University Higher School of Economics
AIST 2019
Show tasks (experimental!) Дистрибутивная семантика
Морфологический анализ
Построение конкордансов
Coreference Resolution In Russian: State-Of-The-Art Approaches Application And Evolvement url annotation Sysoev A. A.
Andrianov I. A.
Khadzhiiskaia A. Y.
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
Dialogue 2017
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Smart Context Generation For Disambiguation To Wikipedia url annotation Sysoev A. A.
Nikishina I.
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
National Research University Higher School of Economics
AINL 2018
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Распознавание Именованных Сущностей: Подход На Основе Вики-Ресурсов url annotation Sysoev A. A.
Andrianov I. A.
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
Dialogue 2016
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Извлечение именованных сущностей

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