RusNLP: Deloitte Analytics Institute, Moscow, Russia

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	Paper author	Affiliation	Conference	Year	Tasks
User Proﬁling In Text-Based Recommender Systems Based On Distributed Word Representations	Nikolenko Sergey Alekseev Anton	Steklov Mathematical Institute, St. Petersburg, Russia National Research University Higher School of Economics Deloitte Analytics Institute, Moscow, Russia	AIST	2016	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ
Constructing Aspect-Based Sentiment Lexicons With Topic Modeling	Nikolenko Sergey Tutubalina E. V.	Steklov Mathematical Institute, St. Petersburg, Russia Kazan (Volga Region) Federal University, Kazan, Russia National Research University Higher School of Economics Deloitte Analytics Institute, Moscow, Russia	AIST	2016	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика