Answer Sentence Selection

Answer Sentence Selection (AS2) is a crucial task in question answering systems, aiming to identify the sentence(s) best answering a given question from a set of candidates. Current research emphasizes improving AS2 accuracy through advanced model architectures like transformers, often incorporating graph neural networks or optimal transport to better capture relationships between questions, answers, and surrounding context. A significant focus is on extending AS2 capabilities to multilingual settings and low-resource languages, leveraging techniques like knowledge distillation and data augmentation to overcome data scarcity. These advancements are driving improvements in the efficiency and effectiveness of question answering systems across various domains and languages.