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Label Confidence Weighted Learning for Target-level Sentence Simplification
Xinying Qiu, Jingshen Zhang
Multi-level sentence simplification generates simplified sentences with varying language proficiency levels. We propose Label Confidence Weighted Learning (LCWL), a novel approach…
System Report for CCL24-Eval Task 7: Multi-Error Modeling and Fluency-Targeted Pre-training for Chinese Essay Evaluation
Jingshen Zhang, Xiangyu Yang, Xinkai Su +3
This system report presents our approaches and results for the Chinese Essay Fluency Evaluation (CEFE) task at CCL-2024. For Track 1, we optimized predictions for challenging fine-…
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
Jingshen Zhang, Xinying Qiu, Teng Shen +3
Cross-lingual word alignment plays a crucial role in various natural language processing tasks, particularly for low-resource languages. Recent study proposes a BiLSTM-based encode…
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
Jingshen Zhang, Xinglu Chen, Xinying Qiu +2
Chinese sentence simplification faces challenges due to the lack of large-scale labeled parallel corpora and the prevalence of idioms. To address these challenges, we propose Reada…
Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment
Jingshen Zhang, Jiajun Xie, Xinying Qiu
Item difficulty plays a crucial role in adaptive testing. However, few works have focused on generating questions of varying difficulty levels, especially for multiple-choice (MC)…