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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Papers by: Ermakova L. M.

Paper title Paper author Affiliation Conference Year Tasks
Генерация Сниппетов В Поисковых Системах Как Задача Автоматического Квазиреферирования url annotation Ermakova L. M.
Perm National Research University
AIST 2013
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Система Автоматического Квазиреферирования Wexsy url annotation 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? url annotation 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

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