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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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
A Summarization Model Based On The Combination Of Extraction And Abstraction	Osminin P. G.	South Ural State University, Chelyabinsk, Russia	Dialogue	2014	0.717	Show tasks (experimental!) Автоматическое реферирование Морфологический анализ Построение конкордансов
Dataset For Automatic Summarization Of Russian News	Gusev I. O.	Moscow Institute of Physics and Technology, Moscow, Russia	AINL	2020	0.698	Show tasks (experimental!) Автоматическое реферирование Построение конкордансов Морфологический анализ
Using Sentiment-Analysis For Text Information Extraction	Pazelskaja A. G. Solovev A. N. Antonova A. Ju.	I-Teco, Moscow, Russia	Dialogue	2012	0.697	Show tasks (experimental!) Автоматическое реферирование Построение конкордансов Морфологический анализ
On Summarization Supporting Readability And Translatability	Sheremetyeva S. O.	LanA Consulting ApS, Copenhagen, Denmark South Ural State University, Chelyabinsk, Russia	Dialogue	2015	0.694	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование
Abstractive Summarization Of Russian News Learning On Quality Media	Dobrov B. V. Chernyshev D.	Lomonosov Moscow State University, Moscow, Russia	AIST	2020	0.689	Show tasks (experimental!) Автоматическое реферирование Построение конкордансов Морфологический анализ
Parse Thicket Representations Of Text Paragraphs	Strok F. Galitskij B. A. Kuznetsov S. O. Ivorskij D.	National Research University Higher School of Economics eBay Inc.	Dialogue	2013	0.683	Show tasks (experimental!) Дистрибутивная семантика Морфологический анализ Построение конкордансов
Lingua – An Architecture For Robust Text Processing In Bulgarian	Totkov At. Tanev Chr.	The University of Plovdiv	Dialogue	2002	0.683	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Paraphrased Plagiarism Detection Using Sentence Similarity	Zubarev D. V. Sochenkov I. V.	Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia RUDN University, Moscow, Russia	Dialogue	2017	0.682	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ
Подход К Автоматизации Сбора Онтологической Информации Для Интернет-Портала Знаний	Zagorulko Ju. A. Sidorova E. A. Borovikova O. I.	A.P. Ershov Institute of Informatics Systems, Novosibirsk, Russia Russian Research Institute for AI, Russia	Dialogue	2005	0.682	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
A Multi-Task Learning Approach To Text Simplification	Tiedemann J. Dmitrieva A.	National Research University Higher School of Economics University of Helsinki, Finland	AIST	2020	0.681	Show tasks (experimental!) Автоматическое реферирование Морфологический анализ Построение конкордансов