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: Antonova A.

Paper title Paper author Affiliation Conference Year Tasks
The Impact Of Different Data Sources On Finding And Ranking Synonyms For A Large-Scale Vocabulary url annotation Misjurev A. V.
Antonova A.
Kobernik T.
Yandex, Moscow, Russia
Dialogue 2016
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Automatic Creation Of Human‑Oriented Translation Dictionaries url annotation Misjurev A. V.
Antonova A.
Yandex, Moscow, Russia
Dialogue 2014
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Acquiring Relevant Context Examples For A Translation Dictionary url annotation Misjurev A. V.
Antonova A.
Protopopova E. V.
Yandex, Moscow, Russia
Dialogue 2015
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.