Papers by Duc Vo
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning (2022.emnlp-main)
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| Challenge: | Existing automatic story evaluation methods place a premium on story lexical level coherence, deviating from human preference. |
| Approach: | They propose a novel Story Evaluation method that mimics human preference when judging a story . the model is based on a well-annotated dataset and a longformer-encoder-decoder . |
| Outcome: | The proposed method is applicable to machine-generated and human-written stories. |