Papers with grammatical and stylistic consistency
Improving Neural Story Generation by Targeted Common Sense Grounding (D19-1)
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| Challenge: | Recent advances in language modeling have yielded thematic and stylistic coherence in story generation through large scale pretraining of Transformer models. |
| Approach: | They propose a multi-task learning scheme to achieve better common sense reasoning in language models by leveraging auxiliary training signals from datasets designed to provide common sense grounding. |
| Outcome: | The proposed model achieves improved common sense reasoning and state-of-the-art perplexity on the WritingPrompts dataset. |