Papers by William Brendel
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network (D18-1)
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| Challenge: | Existing approaches to emotion detection are lexicon-based, graphical model-based and linear classifier-based. |
| Approach: | They propose a transfer learning architecture to divide sentence representation into two different feature spaces which capture general sentiment words and other important emotion-specific words via a dual attention mechanism. |
| Outcome: | The proposed model can capture general sentiment words and other emotion-specific words via a dual attention mechanism on two benchmark datasets. |
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering (N19-2)
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| Challenge: | Existing methods for duplicate classification require manual review and assigning bugs to the correct teams. |
| Approach: | They propose a loss function that can detect duplicate bug reports and aggregate them into latent topics without supervision. |
| Outcome: | The proposed model outperforms state-of-the-art methods for duplicate classification on both cases and can learn meaningful latent clusters without supervision. |