GBCA: Graph Convolution Network and BERT combined with Co-Attention for fake news detection

Z Zhang, Q Lv, X Jia, W Yun, G Miao, Z Mao… - Pattern Recognition …, 2024 - Elsevier
Social media has evolved into a widely influential information source in contemporary
society. However, the widespread use of social media also enables the rapid spread of fake …

AntiFake System: Machine Learning-Based System for Verification of Fake News

S Fedushko, Y Syerov, N Kryvinska - Procedia Computer Science, 2024 - Elsevier
Fake news has become extremely popular in recent years and is widely used in social
networking. The Internet has enabled an unprecedented number and speed of news …

[PDF][PDF] SNG-TE: Sports News Generation with Text-Editing Model

Q Xu, W Zhang, H Ding, S Ji - … AUTOMATION AND SOFT …, 2023 - cdn.techscience.cn
Currently, the amount of sports news is increasing, given the number of sports available. As
a result, manually writing sports news requires high labor costs to achieve the intended …

[PDF][PDF] Binary classification model as a tool to detect sentences with microsyntactic units1

AV Chaga - Москва, 2023 - dialog-21.ru
We consider a model of binary classifier predicting occurrence of microsyntactic units in
sentences. The model is based on AWD-LSTM architecture with an encoder pre-trained on …

Бинарный классификатор как инструмент для поиска предложений, содержащих конструкции микросинтаксиса

АВ Чага - Компьютерная лингвистикаи интеллектуальные …, 2023 - elibrary.ru
В данной статье рассматривается модель бинарного классификатора,
предсказывающего наличие единиц микросинтаксиса в предложениях. Модель …