RusNLP: Makarov I. S.

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
Federated Learning In Named Entity Recognition	Makarov I. S. Luboshnikov E.	National University of Science and Technology, Russia National Research University Higher School of Economics	AIST	2020	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Трехмерная Модель Речевого Тракта И Алгоритм Вычисления Площадей Поперечных Сечений	Makarov I. S. Sorokin V. N. Badin P.	Grenoble Institute of Technology, Grenoble, France IITP RAS, Moscow, Russia	Dialogue	2002	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Конечные преобразователи
Prediction Of News Popularity Via Keywords Extraction And Trends Tracking	Pugachev A. Makarov I. S. Voronov A.	Sberbank, Moscow National Research University Higher School of Economics	AIST	2020	Show tasks (experimental!) Автоматическое реферирование Построение конкордансов Морфологический анализ