Papers with internal mechanism of attention
Understanding Attention for Text Classification (2020.acl-main)
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| Challenge: | Existing studies have focused on whether local attention weights reflect the importance of input representations. |
| Approach: | They propose to analyze for each word token the following two quantities: its polarity score and its attention score, where the latter is a global assessment on the token’s significance. |
| Outcome: | The proposed model can be improved under conditions where the interplay between the two quantities can contribute towards model performance. |