RusNLP: Suvorov Roman

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
Active Learning With Adaptive Density Weighted Sampling For Information Extraction From Scientiﬁc Papers	Suvorov Roman Shelmanov A. O. Smirnov I. V.	Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia	AINL	2017	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование