RusNLP: Ermakova L. M.

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
Система Автоматического Квазиреферирования Wexsy	Ermakova L. M.	Perm National Research University	AIST	2012	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Query Expansion In Information Retrieval: What Can We Learn From A Deep Analysis Of Queries?	Ermakova L. M. Mot Zh. Ovchinnikova I. G.	Perm National Research University Institut de Recherche en Informatique de Toulouse	Dialogue	2014	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ
Генерация Сниппетов В Поисковых Системах Как Задача Автоматического Квазиреферирования	Ermakova L. M.	Perm National Research University	AIST	2013	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика