Papers with high-quality text classifiers
META: Metadata-Empowered Weak Supervision for Text Classification (2020.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for weakly supervised text classification use text data alone to generate pseudo-labels . strong label indicators exist in metadata and it has been long overlooked due to challenges . |
| Approach: | They propose a framework that leverages metadata as an additional source of weak supervision by combining text data and metadata into a text-rich network. |
| Outcome: | The proposed framework exploits metadata as an additional source of weak supervision. |