most citedControlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CL2024

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-…

cs.CL2024

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…

cs.CL2024

Comparing Feature-based and Context-aware Approaches to PII Generalization Level Prediction

Kailin Zhang, Xinying Qiu

Protecting Personal Identifiable Information (PII) in text data is crucial for privacy, but current PII generalization methods face challenges such as uneven data distributions and…

cs.CL2024

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…

cs.CL20241 cited

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)…