Ruining Chong — accepted AI-conference papers

2024

MCTS: A Multi-Reference Chinese Text Simplification Dataset

Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wang +3

COLING 2024main

Text simplification aims to make the text easier to understand by applying rewriting transformations. There has been very little research on Chinese text simplification for a long time. The lack of generic evaluation data is an essential reason for this phenomenon. In this paper, we introduce MCTS,…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2023

Leveraging Prefix Transfer for Multi-Intent Text Revision

Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang +3

ACL 2023short

Text revision is a necessary process to improve text quality. During this process, writers constantly edit texts out of different edit intentions. Identifying edit intention for a raw text is always an ambiguous work, and most previous work on revision systems mainly focuses on editing texts accordi…

Cited by 3 Source ↗PDF ↗Scholar ↗