RusNLP: Huawei Moscow

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
Binary Autoencoder For Text Modeling	Piontkovskaja I. I. Baynazarov R.	Huawei Moscow Moscow Institute of Physics and Technology, Moscow, Russia	AINL	2019	Show tasks (experimental!) Дистрибутивная семантика Морфологический анализ Построение конкордансов
Chinese-Russian Shared Task On Multi-Domain Translation	Logacheva V. K. Malyh V. A.	Huawei Moscow Skoltech, Moscow, Russia	AINL	2020	Show tasks (experimental!) Построение конкордансов Автоматическое реферирование Морфологический анализ