RusNLP: Suprema Labs

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
Ensemble-Based Commercial Buildings Facades Photographs Classifier	Malyh V. A. Samarin A.	Saint-Petersburg State University, Saint-Petersburg, Russia Suprema Labs Kazan (Volga Region) Federal University, Kazan, Russia	AIST	2020	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование