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: Kuvshinova T.

Paper title Paper author Affiliation Conference Year Tasks
Sentence Compression For Russian: Dataset And Baselines. url annotation Kuvshinova T.
National Research University Higher School of Economics
Dialogue 2020
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Автоматическое реферирование
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RusNLP by https://nlp.rusvectores.org is licensed under a
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