Papers with deep network
Multi-task dialog act and sentiment recognition on Mastodon (C18-1)
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| Challenge: | Social media are a gold mine for researchers in many domains and especially in natural language processing . license restrictions make it difficult to strictly reproduce research results on Twitter data . |
| Approach: | They propose to annotate a Twitter-like corpus from a decentralized social network with permissive licenses that are compatible with reproducible experiments. |
| Outcome: | The proposed method shows that transfer learning can be efficiently achieved between tasks. |
Fake News Detection using Deep Markov Random Fields (N19-1)
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| Challenge: | Existing deep-learning-based methods ignore the correlations among news articles and only consider each article individually. |
| Approach: | They propose a graph-theoretic method that inherits the power of deep learning while utilizing the correlations among the articles. |
| Outcome: | The proposed model improves on state-of-the-art models on well-known datasets. |