Papers by Cansu Sen
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (2020.acl-main)
Copied to clipboard
| Challenge: | Attention-based models have been claimed to add interpretability, but little is known about the actual relationships between machine and human attention. |
| Approach: | They conduct the first quantitative assessment of human versus computational attention mechanisms for the text classification task. |
| Outcome: | The proposed models are compared against machine attention maps on a publicly available YELP dataset. |