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: Kholodov Y.

Paper title Paper author Affiliation Conference Year Tasks
Deep Embeddings For Brand Detection In Product Titles url annotation Kholodov Y.
Kulagin A.
Gavrilin Y.
Innopolis University
AIST 2019
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
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