RESEARCH ON THE SPECIFIC FEATURES OF DETERMINING THE SEMANTIC SIMILARITY OF ARBITRARY-LENGTH TEXT CONTENT USING MULTILINGUAL TRANSFORMER-BASED MODELS

RESEARCH ON THE SPECIFIC FEATURES OF DETERMINING THE SEMANTIC SIMILARITY OF ARBITRARY-LENGTH TEXT CONTENT USING MULTILINGUAL TRANSFORMER-BASED MODELS

The possibilities of determining the semantic similarity of multilingual arbitrary-length text content have been investigated using their vector representations obtained within different multilingual models based on Transformer architecture. A comparative analysis of the Transformers has been perfor...

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Bibliographic Details
Main Authors: Serhii Olizarenko, Vladimir Argunov
Format: Article
Language:English
Published: National Technical University "Kharkiv Polytechnic Institute" 2020-10-01
Series:Сучасні інформаційні системи
Subjects:
Natural Language Processing
BERT
semantic similarities
news content
Deep Learning
multilingual text content
Online Access:http://ais.khpi.edu.ua/article/view/213331

Internet

http://ais.khpi.edu.ua/article/view/213331

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