Papers by John S. Y. Lee
CSSWiki: A Chinese Sentence Simplification Dataset with Linguistic and Content Operations (2024.lrec-main)
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| Challenge: | Existing datasets for sentence simplification focus on English, but limited in Chinese . SS tasks are aimed at improving readability and making sentences more accessible for readers . |
| Approach: | They propose an open-source dataset for Chinese sentence simplification based on Wikipedia . they analyze differences in annotation scheme and data statistics between datasets . |
| Outcome: | The proposed dataset contains 1.6k source sentences paired with their simplified versions. |
Automatic Nominalization of Clauses through Textual Entailment (2022.coling-1)
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| Challenge: | Past research on clause nominalization has focused on replacement of the head verb with a deverbal noun and resource development to support the task. |
| Approach: | They propose to use a textual entailment model to optimize the position and POS of nominal arguments by fine-tuning a model on the task. |
| Outcome: | The proposed model outperforms unsupervised approaches on the nominalization task and outperformed a state-of-the-art neural language model. |