RusNLP: Sapin A. S.

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
Comparing Models Of Morpheme Analysis For Russian Words Based On Machine Learning	Sapin A. S. Bolshakova E. I.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics	Dialogue	2019	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика