Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (11): 135-139.

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Research on text-map transferring based on HNC semantic model

LI Ying1, CHI Yuhuan2   

  1. 1.Department of Science Research, Academy of Armored Force Engineering, Beijing 100072, China
    2.Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
  • Online:2013-06-01 Published:2013-06-14


李  颖1,池毓焕2   

  1. 1.装甲兵工程学院 科研部,北京 100072
    2.中国科学院 声学研究所,北京 100190

Abstract: Transformation from military document into corresponding map can usually involve non-trivial manual work while automatic document-map transformation system may significantly contribute to the automation of military commanding. Based on the HNC theory and its semantic model, the paper proposes and implements a system that can automatically accomplish such a transformation. By automatically retrieving the name of a troop, temporal and spatial information, together with the result of analysis of sentence category, the proposed approach can fill the contextual framework of a sentence group, whose information can then be easily transferred into map information. Extensive experiments of real military document illustrate that the proposed method can reach a higher rate of precision and recall and hence provide a reliable approach for automatic document-map transformation.

Key words: semantic analysis, analysis of sentence category, military document, map depicting, document-map transferring

摘要: 军事文书转换为要图通常需要耗时费力的人工工作,文图的自动转换将大大促进军事指挥的自动化水平。基于HNC理论及其语义模型提出并实现了一个文图自动转换系统,通过对军事文书中部队番号的自动识别、时间地点要素的自动获取,以及语句的句类分析可以获得句群文本的语义情景框架,根据情景框架中的要素可以直接转换为要图标绘所需的信息。实验表明军事文书的文本自动分析系统具有较高的准确率和召回率,为实现军事文书的文图自动转换提供了一种可靠方法。

关键词: 语义分析, 句类分析, 军事文书, 要图标绘, 文图转换