RusNLP: Kuzmenko E. 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
Morphological Analysis For Russian: Integration And Comparison Of Taggers	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	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	Kuzmenko E. A. Mustakimova E. G.	National Research University Higher School of Economics	Dialogue	2015	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование