RusNLP: Indenbom E. M.

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
Part-Of-Speech Tagging With Rich Language Description	Anastasyev D. G. Andrianov A. I. Indenbom E. M.	ABBYY, Moscow, Russia	Dialogue	2017	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Automatic Vocabulary Positioning In A Thesaurus	Yudina M. V. Indenbom E. M. Likhonosov A.	ABBYY, Moscow, Russia	Dialogue	2019	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Improving Part-Of-Speech Tagging Via Multi-Task Learning And Character-Level Word Representations	Anastasyev D. G. Gusev I. O. Indenbom E. M.	ABBYY, Moscow, Russia Moscow Institute of Physics and Technology, Moscow, Russia	Dialogue	2018	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Statistical Machine Translation With Linguistic Language Model	Yudina M. V. Zuev K. A. Indenbom E. M.	ABBYY, Moscow, Russia	Dialogue	2013	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов