图书情报工作 ›› 2020, Vol. 64 ›› Issue (7): 20-29.DOI: 10.13266/j.issn.0252-3116.2020.07.003

• 专题:先秦典籍的语义组织与挖掘研究 • 上一篇    下一篇

《左传》战争事件抽取技术研究

李章超, 李忠凯, 何琳   

  1. 南京农业大学信息管理系 南京 210095
  • 收稿日期:2019-07-10 修回日期:2019-10-26 出版日期:2020-04-05 发布日期:2020-04-05
  • 通讯作者: 何琳(ORCID:0000-0002-4207-3588),教授,博士,博士生导师,通讯作者,E-mail:helin@njau.edu.cn
  • 作者简介:李章超(ORCID:0000-0002-9252-2142),博士研究生;李忠凯(ORCID:0000-0002-5611-1645),硕士研究生。
  • 基金资助:
    本文系国家社会科学基金项目"基于典籍的中华传统文化知识表达体系自动构建方法"(项目编号:18BTQ063)研究成果之一。

Study on the Extraction Method of War Events in Zuo Zhuan

Li Zhangchao, Li Zhongkai, He Lin   

  1. College of Information Science & Technology, Nanjing Agricultural University, Nanjing 210095
  • Received:2019-07-10 Revised:2019-10-26 Online:2020-04-05 Published:2020-04-05

摘要: [目的/意义] 针对《左传》中的战争事件展开研究,对先秦历史乃至中华民族文化的研究具有重要参考价值。[方法/过程] 基于框架理论构建《左传》战争事件基本框架体系,利用模式匹配法进行战争句识别,选择条件随机场模型、结合特征模板对战争时间、交战双方等7个命名实体进行识别和抽取,最后基于得到的结构化数据对战争事件进行分析和可视化展示。[结果/结论] 研究结果表明,条件随机场模型能够较好地应用于《左传》战争事件的抽取;特征选取会影响实体识别的结果;具体内容方面,春秋时期晋国、楚国、齐国、郑国等国参战频率较高,晋国为主要进攻方,郑国为主要防守方。

关键词: 《左传》, 战争事件, 事件抽取

Abstract: [Purpose/significance] This paper conducts research about the war incidents in Zuo Zhuan, it has important reference value for the study of pre-Qin history and Chinese culture. [Method/process] It constructs the basic framework system of the war incident in Zuo Zhuan based on the framework theory, uses the pattern matching method to identify the war sentence, selects the conditional random field model, and combines the feature template to identify and extract seven named entities, such as war time and warring parties. Finally, based on the obtained structured data, the war events are analyzed and visualized. [Result/conclusion] The research results show that the CRF model can be applied to the extraction of war events in Zuo Zhuan; the feature selection affects the results of entity recognition; about specific content, Jin, Chu, Qi, Zheng and other countries participated in the war more frequently. Jin was the main attacker. Zheng was the main defender during the Spring and Autumn Period.

Key words: Zuo Zhuan, war event, event extraction

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