Papers with deep learning text classifiers
FIND: Human-in-the-Loop Debugging Deep Text Classifiers (2020.emnlp-main)
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| Challenge: | Existing models are limited in the number of available datasets and lack the necessary tools to improve them. |
| Approach: | They propose a framework which enables humans to debug deep learning text classifiers by disabling irrelevant hidden features. |
| Outcome: | Experiments show that using FIND, humans can improve CNN text classifiers trained on different types of imperfect datasets. |