RusNLP: Kravchenko A.

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
Practical Aspects Of Long-Term Ontology-Based Information Extraction	Kravchenko A. Zharikov Alexandr Pivovarov Vasiliy	Interfax, Moscow, Russia	Dialogue	2014	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Генерация Шаблонов Оценочных Выражений На Основе Неразмеченного Текста	Kravchenko A.	National Research University Higher School of Economics	Dialogue	2012	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов