Generating Diagnostic Multiple Choice Comprehension Cloze Questions
Code (0)
등록된 구현이 없습니다.
Tasks
DiagnosticMultiple-choiceReading ComprehensionSimilar Papers 제목 키워드 기반
Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension
Task-adaptive pre-training (TAPT) alleviates the lack of labelled data and provides performance lift by adapting unlabelled data to downstream task. Unfortunately, existing adaptations mainly involve deterministic rules …
Data AugmentationMachine Reading ComprehensionMultiple-choiceReading ComprehensionClozer”:" Adaptable Data Augmentation for Cloze-style Reading Comprehension
Task-adaptive pre-training (TAPT) alleviates the lack of labelled data and provides performance lift by adapting unlabelled data to downstream task. Unfortunately, existing adaptations mainly involve deterministic rules …
Data AugmentationMachine Reading ComprehensionMultiple-choiceReading ComprehensionDifficulty-Controllable Cloze Question Distractor Generation
Multiple-choice cloze questions are commonly used to assess linguistic proficiency and comprehension. However, generating high-quality distractors remains challenging, as existing methods often lack adaptability and cont…
Distractor GenerationData AugmentationWho did What: A Large-Scale Person-Centered Cloze Dataset
We have constructed a new "Who-did-What" dataset of over 200,000 fill-in-the-gap (cloze) multiple choice reading comprehension problems constructed from the LDC English Gigaword newswire corpus. The WDW dataset has a var…
ArticlesMultiple-choiceReading ComprehensionDGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
When evaluating a learner's knowledge proficiency, the multiple-choice question is an efficient and widely used format in standardized tests. Nevertheless, generating these questions, particularly plausible distractors (…
Distractor GenerationMultiple-choiceMulti-Task LearningNatural Questions+1