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: Kiselev S. L.

Paper title Paper author Affiliation Conference Year Tasks
Поиск Фактов В Тексте Естественного Языка На Основе Сетевых Описаний url annotation Ermakov A. E.
Pleshko V. V.
Kiselev S. L.
White Wind, Moscow, Russia
Garant-Park-Internet, Moscow, Russia
Dialogue 2004
Show tasks (experimental!) Построение конкордансов
Дистрибутивная семантика
Морфологический анализ
Лингвистическая Модель Для Компьютерного Анализа Тональности Публикаций Сми url annotation Ermakov A. E.
Kiselev S. L.
White Wind, Moscow, Russia
Garant-Park-Internet, Moscow, Russia
Dialogue 2005
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика

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