Research map / Image generation / Autoregressive and latent generation
Learning towards Selective Data Augmentation for Dialogue Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Apply selective augmentation to SEQ2SEQ | SEQ2SEQ · DailyDialog | Avg: 76.56 -> 77.83 | Helped |
| Apply selective augmentation to SEQ2SEQ | SEQ2SEQ · OpenSubtitles | BLEU-1: 10.03 -> 10.78 | Helped |
| Use SDA rather than random augmentation | SEQ2SEQ · DailyDialog | Avg: 77.02 -> 77.83 | Helped |
| Use SDA rather than Manipulation | SEQ2SEQ · OpenSubtitles | Avg: 62.29 -> 62.36 | No clear effect |
| Add selective augmentation rather than augmenting all training data without selection (ablation) | SEQ2SEQ full model · DailyDialog | Dist-1: 1.42 -> 1.63 | Helped |
| Add the generation quality discriminator (ablation) | SEQ2SEQ full model · DailyDialog | Dist-1: 1.59 -> 1.63 | Helped |
| Add the representativeness discriminator (ablation) | SEQ2SEQ full model · DailyDialog | Dist-1: 1.55 -> 1.63 | Helped |
| Increase the selected augmentation fraction from 80% to 100% | SDA · DailyDialog | embedding scores | Hurt |
| Apply selective data augmentation | GPT-2 · RocStories | BLEU-1: 30.21 -> 30.96 | Helped |
Closest papers by meaning
- Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation (AAAI 2019 · similarity 0.92)
- DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder (ICLR 2019 · similarity 0.88)
- Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model (NeurIPS 2017 · similarity 0.88)
- Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network (AAAI 2020 · similarity 0.87)
- Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning (CVPR 2018 · similarity 0.87)
- Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation (AAAI 2021 · similarity 0.86)
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