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: Paperno Denis

Paper title Paper author Affiliation Conference Year Tasks
Russe: The First Workshop On Russian Semantic Similarity url annotation Loukachevitch N. V.
Mejer K. M.
Paperno Denis
Konstantinova Natalia
Panchenko A. I.
Ustalov D. A.
Université catholique de Louvain, Belgique
University of Wolverhampton, Wolverhampton, UK
Darmstadt University of Technology, Germany
Krasovskii Institute of Mathematics and Mechanics, Yekaterinburg, Russia
NLPub, Yekaterinburg, Russia
University of Trento, Rovereto, Italy
Lomonosov Moscow State University, Moscow, Russia
Dialogue 2015
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Human And Machine Judgements For Russian Semantic Relatedness url annotation Loukachevitch N. V.
Arefyev N. V.
Biemann Chris
Paperno Denis
Konstantinova Natalia
Panchenko A. I.
Ustalov D. A.
University of Wolverhampton, Wolverhampton, UK
Darmstadt University of Technology, Germany
University of Trento, Rovereto, Italy
Ural Federal University, Yekaterinburg, Russia
Lomonosov Moscow State University, Moscow, Russia
AIST 2016
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Breeds Of Cooccurrence: An Attempt At Classification url annotation Khachko D. V.
Roitberg M. A.
Roitberg A. M.
Paperno Denis
National Research University Higher School of Economics
University of Trento, Rovereto, Italy
Dialogue 2013
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика

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