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: Segalovich I. V.

Paper title Paper author Affiliation Conference Year Tasks
Российский Семинар По Оценке Методов Информационного Поиска (Ромип) url annotation Dobrov B. V.
Shabanov V. I.
Gubin M. V.
Pleshko V. V.
Kuralenok I. E.
Nekrestyanov I. S.
Segalovich I. V.
Ageev M. S.
Center for Information Research, Moscow, Russia
Yandex, Moscow, Russia
RCO, Moscow, Russia
Garant-Park-Internet, Moscow, Russia
Lomonosov Moscow State University, Moscow, Russia
Codex, Russia
Rambler
Saint-Petersburg State University, Saint-Petersburg, Russia
Dialogue 2005
Show tasks (experimental!) Построение конкордансов
Автоматическое реферирование
Морфологический анализ
Вероятностная Модель Снятия Морфологической Омонимии На Основе Нормализующих Подстановок И Позиций Соседних Слов url annotation Titov V. A.
Segalovich I. V.
Zelenkov Ju. G.
Yandex, Moscow, Russia
Dialogue 2005
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Результаты Первого Российского Семинара По Оценке Методов Информационного Поиска (Ромип-2003) url annotation Dobrov B. V.
Segalovich I. V.
Shabanov V. I.
Nekrestyanov I. S.
Lomonosov Moscow State University, Moscow, Russia
Yandex, Moscow, Russia
Rambler
Saint-Petersburg State University, Saint-Petersburg, Russia
Dialogue 2004
Show tasks (experimental!) Построение конкордансов
Автоматическое реферирование
Морфологический анализ

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