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.

Show advanced filters

Conferences:

Years (since-till):

Paper author: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Affiliation: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Paper title: ?You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character) to find titles with specific words

Number of results:


Papers with the affiliation: Ulyanovsk State Technical University, Ulyanovsk, Russia

Paper title Paper author Affiliation Conference Year Tasks
An Approach To Customization Of Pre-Trained Neural Network Language Model To Specific Domain url annotation Dudarin P. V.
Tronin V. G.
Svyatov K. V.
Ulyanovsk State Technical University, Ulyanovsk, Russia
Dialogue 2019
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Обнаружение, Идентификация, Кодирование И Обработка Вопросов В Процессах Решения Задач url annotation Sosnin P. I.
Ulyanovsk State Technical University, Ulyanovsk, Russia
Dialogue 2002
Show tasks (experimental!) Построение конкордансов
Дистрибутивная семантика
Морфологический анализ

Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.