Automatic Comment Generation for Chinese Student Narrative Essays (2022.emnlp-demos)
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| Challenge: | Existing studies focus on giving discrete scores for holistic quality or distinct traits, but real-world teachers usually provide detailed comments in natural language, which are more informative than single scores. |
| Approach: | They propose a model which generates comments for specified segments from given student narrative essays using a human-written Chinese dataset. |
| Outcome: | The proposed model outperforms baselines and has 91% success rate. |
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