|
|
|
|
|
Ivan S. Blekanov, Nikita Tarasov and Svetlana S. Bodrunova
Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today?s abstractive summarization research is limited to testing the models on variou...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander V. Yakunin and Svetlana S. Bodrunova
The study examines the cumulative impact of factors that affect usability testing for user-centered web design, namely the so-called ?contextual fidelity model? factors that include product properties, task features, user traits, and environment/context ...
ver más
|
|
|
|
|
|
|
|
|
|
|
|
Ivan Blekanov, Svetlana S. Bodrunova and Askar Akhmetov
The community-based structure of communication on social networking sites has long been a focus of scholarly attention. However, the problem of discovery and description of hidden communities, including defining the proper level of user aggregation, rema...
ver más
|
|
|
|
|
|
|
|
|
|
|
Svetlana S. Bodrunova, Andrey V. Orekhov, Ivan S. Blekanov, Nikolay S. Lyudkevich and Nikita A. Tarasov
The paper is dedicated to solving the problem of optimal text classification in the area of automated detection of typology of texts. In conventional approaches to topicality-based text classification (including topic modeling), the number of clusters is...
ver más
|
|
|
|
|
|