RusNLP: Fomin V. V.

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
A Study Of Machine Learning Algorithms Applied To Gis Queries Spelling Correction	Fomin V. V. Bondarenko I. Yu.	2GIS, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia	Dialogue	2018	Show tasks (experimental!) Морфологический анализ Построение конкордансов Автоматическое реферирование
Shiftry: Web Service For Diachronic Analysis Of Russian News	Fomin V. V. Kutuzov A. B. Rodina Ju. Mikhailov Vl.	Sberbank, Moscow University of Oslo, Norway National Research University Higher School of Economics	Dialogue	2020	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Tracing Cultural Diachronic Semantic Shifts In Russian Using Word Embeddings: Test Sets And Baselines	Fomin V. V. Kutuzov A. B. Bakshandaeva D. Rodina Ju.	University of Oslo, Norway National Research University Higher School of Economics	Dialogue	2019	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика