古籍智能信息处理研究现状  

Current Research on Intelligent Information Processing for Ancient Books

作　　者：刘洋[1] 王东波[1] Liu Yang;Wang Dongbo(College of Information Management,Nanjing Agricultural University,Nanjing 210095)

机构地区：[1]南京农业大学信息管理学院,南京210095

出　　处：《图书情报工作》2024年第23期120-138,共19页Library and Information Service

基　　金：国家社会科学基金重大项目“中国古代典籍跨语言知识库构建及应用研究”(项目编号:21&ZD331)研究成果之一。

摘　　要：[目的/意义]AI技术的迅速发展加速了古籍智能信息处理研究工作的开展,为整体把握该领域的研究情况和发展趋势,系统梳理迄今为止的相关文献,以为相关研究提供借鉴。[方法/过程]通过检索和梳理文献,厘定古籍智能信息处理的内涵与外延,总结主要技术、任务和应用,并展望发展趋势。[结果/结论]古籍智能信息处理技术以统计学习、机器学习、深度学习、预训练模型和大语言模型为主;主要任务包括古籍数字化、自动分句与标点、自动分词、自动词性标注、自动信息抽取、自动分类、引文分析、机器翻译、实体消歧、知识库构建和知识图谱构建等;主要研究应用包括专类研究和专题研究。此外,大语言模型技术的应用、多模态化的智能信息处理任务和应用场景的深化与扩展是古籍智能信息处理研究的发展趋势。[Purpose/Significance]The rapid development of AI technology has accelerated the research on intelligent information processing of ancient books.In order to grasp the current research and development trend of this field as a whole,it is necessary to systematically sort out the relevant literature so far and provide reference for related research.[Method/Process]Through a systematic review and analysis of existing literature,it defined the connotation and extension of intelligent information processing of ancient books,summarized the main technical methods,tasks and applications,and discussed the development trend.[Result/Conclusion]Intelligent information processing technology for ancient books is based on statistical learning,machine learning,deep learning,pre-training models and large language models.The main tasks include digitization of ancient books,automatic sentence separation and punctuation,automatic word separation,automatic POS tagging,automatic information extraction,automatic classification,citation analysis,machine translation,entity disambiguation,knowledge base construction,and knowledge graph construction,etc.The main research applications focus on specialized and thematic research.In addition,the application of large language model technology,multimodal intelligent information processing tasks and the deepening and expansion of application scenarios are the development trends of intelligent information processing for ancient books.

关 键 词：古籍智能信息处理 数字人文 大语言模型 

分 类 号：G255.2[文化科学—图书馆学]