Snippet Extraction

Snippet extraction focuses on selecting informative segments from larger texts, aiming to efficiently capture key information for various tasks. Current research emphasizes improving the accuracy and efficiency of snippet selection, particularly using deep learning models like transformers and graph networks, often within weakly-supervised or few-shot learning frameworks to address data limitations. This area is significant for applications ranging from search engine optimization and question answering to video analysis and code completion, impacting both the efficiency of information retrieval and the usability of complex data.