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: Cherkasova Galina

Paper title Paper author Affiliation Conference Year Tasks
Cognitive Semiotic Model For Query Expansion In Question Answering url annotation Filippovich Ju. N.
Karaulov Yuriy
Sirenko Alexander
Cherkasova Galina
V. V. Vinogradov Russian Language Institute RAS, Moscow, Russia
Moscow State University of Printing Arts
Institute of Linguistics, RAS Moscow, Russia
Bauman Moscow State Technical University, Moscow, Russia
AIST 2014
Show tasks (experimental!) Построение конкордансов
Дистрибутивная семантика
Морфологический анализ
Men Are From Mars, Women Are From Venus: Evaluation And Modelling Of Verbal Associations url annotation Filippovich Ju. N.
Cherkasova Galina
Vylomova Ekaterina
Shcherbakov Andrei
The University of Melbourne, Melbourne, Australia
Moscow Polytech, Moscow, Russia
Institute of Linguistics, RAS Moscow, Russia
AIST 2017
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика

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