RusNLP: semantic searcn engine for papers in natural language processing, Russian conferences

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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Affiliation: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Paper title: ?You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character) to find titles with specific words

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Paper title	Paper author	Affiliation	Conference	Year	Similarity	Tasks
Style And Genre Classification By Means Of Deep Textual Parsing	Artemova E. L. Galitskij B. A. Kuznetsov S. O. Ilvovsky D. A.	National Research University Higher School of Economics	Dialogue	2016	0.509	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Doc2Vec Or Better Interpretability? A Method Study For Authorship Attribution	Durandin Oleg Malafeev Alexey Pimonova E.	National Research University Higher School of Economics	Dialogue	2020	0.507	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
A Summarization Model Based On The Combination Of Extraction And Abstraction	Osminin P. G.	South Ural State University, Chelyabinsk, Russia	Dialogue	2014	0.502	Show tasks (experimental!) Автоматическое реферирование Морфологический анализ Построение конкордансов
Automatic Classification Of Web Texts Using Functional Text Dimensions	Katinskaja A. Ju. Selegej V. P. Sharov S. A. Sorokin A. A. Lagutin M. B.	Russian State University for the Humanities, Moscow, Russia Moscow Institute of Physics and Technology, Moscow, Russia University of Leeds, UK ABBYY, Moscow, Russia Lomonosov Moscow State University, Moscow, Russia	Dialogue	2015	0.501	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Computational Refining Of A Russian Language Taxonomy Using Wikipedia	Artemova E. L. Mirkin B. G.	National Research University Higher School of Economics	Dialogue	2013	0.498	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование
Testing The Sentiment Classification Approach In Various Domains — Romip 2011	Chetverkin I. I.	Lomonosov Moscow State University, Moscow, Russia	Dialogue	2012	0.496	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ
Automated Text Readability Assessment For Russian Second Language Learners	Laposhina A. N. Veselovskaya T. V. Lebedeva M. U. Kupreshchenko O. F.	Pushkin State Russian Language Institute, Moscow, Russia	Dialogue	2018	0.495	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Applying An Automatic Ftd Classifier To The Annotation Of The Gicr Corpus	Bulygin M. V. Sharov S. A.	Russian State University for the Humanities, Moscow, Russia Radboud University, Nijmegen, Netherlands University of Leeds, UK	Dialogue	2019	0.494	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование
Learning Noisy Discourse Trees	Galitskij B. A.	Oracle Inc., Redwood Shores CA, USA	Dialogue	2017	0.494	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Research Of Lexical Approach And Machine Learning Methods For Sentiment Analysis	Blinov P. D. Pestov O. A. Klekovkina M. V. Kotelnikov E. V.	Vyatka State Humanities University, Kirov, Russia	Dialogue	2013	0.491	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование