arXiv:2412.08274
2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset
원문 초록
We introduce the first highly multilingual speech and American Sign Language (ASL) comprehension dataset by extending BELEBELE. Our dataset covers 74 spoken languages at the intersection of BELEBELE and FLEURS, and one sign language (ASL). We evaluate 2M-BELEBELE dataset for both 5-shot and zero-shot settings and across languages, the speech comprehension accuracy is ~ 2-3% average lower compared to reading comprehension.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
From Multiple-Choice to Extractive QA: A Case Study for English and Arabic
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages
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
토론
이 논문과 연결된 포럼 글이 아직 없습니다.