Multilingual Machine Reading Comprehension

Multilingual machine reading comprehension (MRC) focuses on enabling computers to understand and answer questions posed in multiple languages, aiming to overcome limitations of existing systems that primarily focus on high-resource languages like English. Current research emphasizes developing robust models, often based on multilingual pre-trained language models and incorporating techniques like semantic disentanglement to improve cross-lingual transfer and handle diverse question types (e.g., boolean and extractive). These advancements are crucial for bridging the language gap in information access and fostering broader accessibility to knowledge across diverse linguistic communities.