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: Samsung-PDMI Joint AI Center

Paper title Paper author Affiliation Conference Year Tasks
Biomedical Entities Impact On Rating Prediction For Psychiatric Drugs url annotation Alimova I. C.
Solovev V. D.
Tutubalina E. V.
Samsung-PDMI Joint AI Center
Kazan (Volga Region) Federal University, Kazan, Russia
AIST 2019
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Wear The Right Head: Comparing Strategies For Encoding Sentences For Aspect Extraction url annotation Nikolenko Sergey
Tutubalina E. V.
Shenbin I.
Alekseev Anton
Malyh V. A.
Neuromation OU
Samsung-PDMI Joint AI Center
Kazan (Volga Region) Federal University, Kazan, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
AIST 2019
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов

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