RusNLP: Kriukova A.

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
Explicit Semantic Analysis As A Means For Topic Labelling	Sukharev K. Kriukova A. Erofeeva A. Mitrofanova O. A.	St. Petersburg Electrotechnical University, St. Petersburg, Russia Saint-Petersburg State University, Saint-Petersburg, Russia University of Trento, Rovereto, Italy	AINL	2018	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
E-Hypertext Media Topic Model With Automatic Label Assignment	Shulginov Valery Shulginov Vadim Kriukova A. Mitrofanova O. A.	Saint-Petersburg State University, Saint-Petersburg, Russia Charles University in Prague, Prague, Czech Republic	AIST	2020	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование