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: Kuzmenko E. A.

Paper title Paper author Affiliation Conference Year Tasks
Morphological Analysis For Russian: Integration And Comparison Of Taggers url annotation Kuzmenko E. A.
National Research University Higher School of Economics
AIST 2016
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Автоматическое реферирование
Webvectors: A Toolkit For Building Web Interfaces For Vector Semantic Models url annotation Kuzmenko E. A.
Kutuzov A. B.
University of Oslo, Norway
National Research University Higher School of Economics
AIST 2016
Show tasks (experimental!) Построение конкордансов
Дистрибутивная семантика
Морфологический анализ
Automatic Disambiguation In The Corpora Of Modern Greek And Yiddish url annotation Kuzmenko E. A.
Mustakimova E. G.
National Research University Higher School of Economics
Dialogue 2015
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Автоматическое реферирование

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