Research map / Large language models / Retrieval and knowledge
EQG-RACE: Examination-Type Question Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the unified model components to the maxout-pointer baseline | Maxout-pointer question generation · EQG-RACE | BLEU-4: 4.06 -> 9.09 | Helped |
| Add ELMo embeddings (ablation) | Unified model · EQG-RACE | BLEU-4: 9.09 -> 11.96 | Helped |
| Replace ELMo with BERT embeddings (ablation) | Unified model · EQG-RACE | BLEU-4: 9.09 -> 10.01 | Helped |
| Add answer-guided graph (ablation) | Unified model · EQG-RACE | BLEU-4: 7.43 -> 9.09 | Helped |
| Add passage-answer fusion (ablation) | Unified model · EQG-RACE | BLEU-4: 7.56 -> 9.09 | Helped |
| Add key-sentence tagging (ablation) | Unified model · EQG-RACE | BLEU-4: 7.62 -> 9.09 | Helped |
| Add rough-answer tagging (ablation) | Unified model · EQG-RACE | BLEU-4: 6.32 -> 9.09 | Helped |
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