Answer Extraction

Answer extraction focuses on identifying the correct answer span within a text passage in response to a question, a crucial component of question answering systems. Current research emphasizes improving accuracy and robustness, particularly by developing novel methods that reduce reliance on pre-trained models' inherent knowledge and address challenges like ambiguous questions and noisy data, often employing transformer-based architectures and techniques like query rewriting and passage augmentation. These advancements are significant for enhancing the reliability and efficiency of question answering systems across various domains, from open-domain question answering to specialized applications like biomedical information retrieval.