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 with the affiliation: University of Mannheim, Mannheim, Germany

Paper title Paper author Affiliation Conference Year Tasks
Russe’2018: A Shared Task On Word Sense Induction For The Russian Language url annotation Loukachevitch N. V.
Arefyev N. V.
Lopukhin K. A.
Lopukhina A. A.
Leontev A. P.
Panchenko A. I.
Ustalov D. A.
V. V. Vinogradov Russian Language Institute RAS, Moscow, Russia
National Research University Higher School of Economics
Samsung R&D Institute Russia
Krasovskii Institute of Mathematics and Mechanics, Yekaterinburg, Russia
University of Hamburg, Germany
University of Mannheim, Mannheim, Germany
Scrapinghub, Russia
ABBYY, Moscow, Russia
Lomonosov Moscow State University, Moscow, Russia
Dialogue 2018
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика

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