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 with the affiliation: Makeomatic, Russia

Paper title Paper author Affiliation Conference Year Tasks
Semantic And Geospatial Mapping Of Instagram Images In Saint-Petersburg url annotation Nagornyy Oleg
Koltsova O. Yu.
Rykov Yuri
Natta Herbert
Manovich Lev
Crockett Damon
Kremenets Alexander
Cerrone Damiano
National Research University Higher School of Economics
Makeomatic, Russia
University of Rome Tor Vergata, Rome, Italy
City University of New York, New York, USA
Spatial Intelligence Unit, Tallinn, Estonia
Software Studies Initiative, La Jolla, USA
AINL 2016
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика

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