Papers by Seong-Eun Hong
Post-Training with Interrogative Sentences for Enhancing BART-based Korean Question Generator (2022.aacl-short)
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| Challenge: | Existing pre-trained language models fail to generate perfect interrogative sentences in Korean question generation. |
| Approach: | They propose to add question infilling objective to KoBART to enhance it for Korean question generation. |
| Outcome: | The proposed post-training improves KoBART for Korean question generation. |