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Found 4 papers, 2 papers with code
Correlation Networks for Extreme Multi-label Text Classification
This paper develops the Correlation Networks (CorNet) architecture for the extreme multi-label text classification (XMTC) task, where the objective is to tag an input text sequence with the most relevant subset of labels from an extremely large label set.
Multi Label Text Classification
Multi-Label Text Classification
+2
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
The experimental results show our proposed MetaFEND model can detect fake news on never-seen events effectively and outperform the state-of-the-art methods.
Knowledge-Base Enriched Word Embeddings for Biomedical Domain
This is problematic, as it might lead to poor representation for words with insufficient local context such as domain specific words.
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection
One of the unique challenges for fake news detection on social media is how to identify fake news on newly emerged events.
