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: Galinsky Ruslan

Paper title Paper author Affiliation Conference Year Tasks
Morpheme Level Word Embedding url annotation Yakovleva Julia
Kovalenko Tatiana
Filchenkov Andrey
Galinsky Ruslan
Peter the Great St.Petersburg Polytechnic University, St.Petersburg, Russia
ITMO University, Saint-Petersburg, Russia
AINL 2017
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Improving Neural Network Models For Natural Language Processing In Russian With Synonyms url annotation Nikolenko Sergey
Alekseev Anton
Galinsky Ruslan
Steklov Mathematical Institute, St. Petersburg, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
AINL 2016
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика

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