RusNLP: Arefyev N. V.

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: Arefyev N. V.

Paper title	Paper author	Affiliation	Conference	Year	Tasks
Синтаксический Анализатор «Treevial». Принцип Динамического Ранжирования Гипотез	Starostin A. S. Malkovskij M. G. Arefyev N. V.	Lomonosov Moscow State University, Moscow, Russia	Dialogue	2010	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Russe’2018: A Shared Task On Word Sense Induction For The Russian Language	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
Evaluating Three Corpus-Based Semantic Similarity Systems For Russian	Arefyev N. V. Romanov P. V. Lesota O. O. Lukanin A. V. Panchenko A. I.	Digital Society Laboratory LLC, Moscow, Russia Softplus, Chelyabinsk, Russia 1C, Moscow, Russia Darmstadt University of Technology, Germany Lomonosov Moscow State University, Moscow, Russia	Dialogue	2015	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Renersans: Relation Extraction And Named Entity Recognition As Sequence Annotation	Davletov A. Gordeev D. Rey A. Arefyev N. V.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics RANEPA, Moscow, Russia Samsung R&D Institute Russia	Dialogue	2020	Show tasks (experimental!) Построение конкордансов Морфологический анализ Извлечение именованных сущностей
Human And Machine Judgements For Russian Semantic Relatedness	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
How Much Does A Word Weight? Weighting Word Embeddings For Word Sense Induction	Ermolaev P. Panchenko A. I. Arefyev N. V.	Lomonosov Moscow State University, Moscow, Russia University of Hamburg, Germany Samsung R&D Institute Russia	Dialogue	2018	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Morphological Segmentation With Sequence To Sequence Neural Network	Gratsianova T. Y. Popov K. P. Arefyev N. V.	Lomonosov Moscow State University, Moscow, Russia Samsung R&D Institute Russia	Dialogue	2018	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Combining Neural Language Models For Word Sense Induction	Sheludko B. Arefyev N. V. Aleksashina T.	Lomonosov Moscow State University, Moscow, Russia SlickJump Samsung R&D Institute Russia	AIST	2019	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Word2Vec Not Dead: Predicting Hypernyms Of Co-Hyponyms Is Better Than Reading Definitions	Kabanov A.V. Zizov V.S. Arefyev N. V. Fedoseev M.V.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics Samsung R&D Institute Russia	Dialogue	2020	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика