计算机科学 ›› 2017, Vol. 44 ›› Issue (1): 95-99.doi: 10.11896/j.issn.1002-137X.2017.01.018
朱峰,顾敏,郑好,顾彦慧,周俊生,曲维光
ZHU Feng, GU Min, ZHENG Hao, GU Yan-hui, ZHOU Jun-sheng and QU Wei-guang
摘要： 传统的应用于未登录词语义研究的语料库包含许多限制,例如更新慢、语言相关等。为了解决此问题,提出了基于知识图谱的中文未登录词语义研究方法。知识图谱是一种包含实体、概念及语义关系的语义网络。它具有丰富的实体,并且实体及其关系的添加极为方便,使得弥补传统语料库更新慢的缺憾成为可能。在充分熟悉知识图谱的结构、数据获取方法及相关数据处理方法后,进行基于知识图谱的未登录词语义研究的探索工作,最后以百度百科(目前最大的中文知识图谱)为语料资源,在同一语义分析模型下分别进行基于知识图谱与传统语料的实验,对实验结果进行分析并提出改进方法。
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