Open-Domain Question Answering

Open-domain question answering (ODQA) is a crucial task in the field of natural language processing, aiming to automatically answer questions posed by users from open-domain datasets such as Wikipedia. The goal of this task is to understand the semantics and context of the questions and extract accurate answers from a vast amount of unstructured information, providing users with fast and precise information retrieval services. Its application value lies in effectively enhancing the interactive experience and information acquisition efficiency of systems like search engines and intelligent assistants.