Hierarchical attention network for multilingual fake news detection
The experimental results indicate that hierarchical attention mechanisms are effective for multilingual fake news detection, particularly in low-resource multilingual settings.
We have 2 of 14 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
The experimental results indicate that hierarchical attention mechanisms are effective for multilingual fake news detection, particularly in low-resource multilingual settings.
This paper proposes a simple, novel and energy-efficient structured pruning methodology resulting in energy, memory footprint and parameter reduction and provides practical insights into the energy-accuracy tradeoff.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.