BDBC-KG-NLP/QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
This project compiles a comprehensive survey of research and industrial applications in Question Answering (QA) systems. It reviews various types of QA, including those based on knowledge graphs, text, tables, and images, along with machine reading comprehension. It's a valuable resource for academics, researchers, and engineers working on intelligent information retrieval systems.
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Use this if you are a researcher or engineer looking for an extensive overview and summary of current academic and industrial advancements in different types of Question Answering systems.
Not ideal if you are a general user seeking a ready-to-use QA application, as this project is a research survey, not an end-user product.
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Apr 06, 2023
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