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: Kiselev Y.

Paper title Paper author Affiliation Conference Year Tasks
Russian Lexicographic Landscape: A Tale Of 12 Dictionaries url annotation Kiselev Y.
Braslavski P. I.
Muhin M. Ju.
Krizhanovskij A. A.
Menshikov I.
Krizhanovskaya N.
IAMR KarRC RAS, Petrozavodsk, Russia
Ural Federal University, Yekaterinburg, Russia
Kontur Labs, Yekaterinburg, Russia
Dialogue 2015
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Extraction Of Hypernyms From Dictionaries With A Little Help From Word Embeddings url annotation Kiselev Y.
Braslavski P. I.
Karyaeva M.
Yandex, Moscow, Russia
Ural Federal University, Yekaterinburg, Russia
Yaroslavl State University, Yaroslavl, Russia
AIST 2018
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
To Find Out Or To Buy? Product Review Vs. Web Shop Classifier url annotation Kiselev Y.
Braslavski P. I.
Yandex, Moscow, Russia
Ural Federal University, Yekaterinburg, Russia
Dialogue 2011
Show tasks (experimental!) Построение конкордансов
Автоматическое реферирование
Морфологический анализ

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