Papers by Amal Alabdulkarim
Guiding Neural Story Generation with Reader Models (2022.findings-emnlp)
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| Challenge: | Existing systems that generate narratives with neural language models require substantial knowledge engineering of logical constraints, limiting their generality. |
| Approach: | They propose a framework in which a reader model is used to reason about the storyshould progress. |
| Outcome: | The proposed model outperforms baseline models in plot plausibility and staying on topic. |