arXiv:2308.09768
공식 코드 · Papers with Code
NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages
원문 초록
In this paper, we create NaijaRC: a new multi-choice Reading Comprehension dataset for three native Nigeria languages that is based on high-school reading comprehension examination. We provide baseline results by performing cross-lingual transfer using existing English RACE and Belebele training dataset based on a pre-trained encoder-only model. Additionally, we provide results by prompting large language models (LLMs) like GPT-4.
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From Multiple-Choice to Extractive QA: A Case Study for English and Arabic
2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
Chaining Event Spans for Temporal Relation Grounding
CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
Automatic Generation of Inference Making Questions for Reading Comprehension Assessments
토론
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