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: Kurenkov S.A.

Paper title Paper author Affiliation Conference Year Tasks
Семиосфера Электронного Образа Земли: Основные Структурные Составляющие И Принципы Моделирования Геотекстов url annotation Zatsman I. M.
Lyuty A.A.
Kurenkov S.A.
Unknown
Dialogue 2001
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.