RusNLP: Frolova T. I.

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: Frolova T. I.

Paper title	Paper author	Affiliation	Conference	Year	Tasks
An Approach To Triangle-Copa Social Scenarios Based On Semantic Analysis.	Dikonov V. G. Lazursky A. Boguslavskij I. M. Iomdin L. L. Rygaev I. P. Frolova T. I. Timoshenko S. P.	Universidad Politécnica de Madrid, Madrid, Spain IITP RAS, Moscow, Russia	Dialogue	2020	Show tasks (experimental!) Построение конкордансов Дистрибутивная семантика Морфологический анализ
Tagging Lexical Functions In Russian Texts Of Syntagrus	Frolova T. I. Podlesskaja O. Ju.	IITP RAS, Moscow, Russia	Dialogue	2011	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Semantic Analysis With Inference: High Spots Of The Football Match	Lazursky A. Boguslavskij I. M. Iomdin L. L. Rygaev I. P. Frolova T. I. Timoshenko S. P.	Universidad Politécnica de Madrid, Madrid, Spain IITP RAS, Moscow, Russia	Dialogue	2018	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика
Knowledge-Based Approach To Winograd Schema Challenge	Lazursky A. Boguslavskij I. M. Iomdin L. L. Rygaev I. P. Frolova T. I. Timoshenko S. P.	Universidad Politécnica de Madrid, Madrid, Spain IITP RAS, Moscow, Russia	Dialogue	2019	Show tasks (experimental!) Построение конкордансов Морфологический анализ Дистрибутивная семантика