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
Using Constraints On A General Knowledge Lexical Network For Domain-Specific Semantic Relation Extraction And Modeling	Lafourcade M. Ramadier L. Clairet N.	Montpellier Laboratory of Computer Science, Robotics, and Microelectronics, Montpellier, France	Dialogue	2016	0.709	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Review Of Relation Extraction Methods: What Is New Out There?	Konstantinova Natalia	University of Wolverhampton, Wolverhampton, UK	AIST	2014	0.698	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Unsupervised Neural Aspect Extraction With Related Terms	Butakov N. Sokhin T. Khodorchenko M.	ITMO University, Saint-Petersburg, Russia	AINL	2020	0.698	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
A Heuristic Strategy For Extracting Terms From Scientiﬁc Texts	Bolshakova E. I. Efremova N. E.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics	AIST	2015	0.693	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Towards The Automated Enrichment Of Multilingual Terminology Databases With Knowledge-Rich Contexts	Shuman A. K.	Tilde, Riga, Latvia University of Vienna, Vienna, Austria	Dialogue	2012	0.691	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
The Impact Of Syntactic Structure On Verb-Noun Collocation Extraction	Akinina Ju. S. Toldova S. Ju. Kuznetsov I. O.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics	Dialogue	2013	0.691	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Aspect Extraction And Twitter Sentiment Classification By Fragment Rules	Solovyev D. A. Vasilev V. G. Denisenko A. A.	LAN-PROJECT, Moscow, Russia	Dialogue	2015	0.689	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Relation Extraction Dataset For The Russian Language	Davletov A. Gordeev D. Rey A. Akzhigitova G. Geymbukh G.	RANEPA, Moscow, Russia	Dialogue	2020	0.688	Show tasks (experimental!) Построение конкордансов Извлечение именованных сущностей Морфологический анализ
Comparison Of Open Information Extraction For English And Spanish	Gelbuh A. F. Zhila A.	National Polytechnic Institute, Mexico City, Mexico	Dialogue	2013	0.687	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Term Extraction For Constructing Subject Index Of Educational Scientific Text	Ivanov Kirill Bolshakova E. I.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics	Dialogue	2018	0.686	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование