SemEval 2019 Task 4: Hyperpartisan News Detection
SemEval 2019 Task 4: Hyperpartisan News Detection
Hyperpartisan News Analysis With Scattertext
A hyperpartisan news article classification system using BERT-based techniques. The goal was to leverage state-of-the-art transformer models like BERT, ROBERTa, and Longformer to accurately classify news articles as hyperpartisan or non-hyperpartisan.
Code for "Multi-Task Training with Hyperpartisian and Semantic Relation for Multi-Lingual News Article Similarity" for SemEval Task 8
Add a description, image, and links to the hyperpartisan-news-detection topic page so that developers can more easily learn about it.
To associate your repository with the hyperpartisan-news-detection topic, visit your repo's landing page and select "manage topics."