Vietnamese Machine Reading Comprehension

Vietnamese Machine Reading Comprehension (MRC) research focuses on enabling computers to accurately answer questions posed about Vietnamese text, addressing a significant language gap in the field. Current efforts concentrate on developing robust models, often leveraging pre-trained transformer architectures like XLM-RoBERTa, and expanding datasets to include both answerable and unanswerable questions, as well as spoken language data from sources like YouTube vlogs. This research is crucial for advancing Vietnamese natural language processing and has implications for various applications, including question answering systems, information retrieval, and educational technologies.