基于单文本指代消解的人物家庭网络构建研究

Building Family Networks by Within-Document Coreference Resolution

人物家庭网络是社会关系网络中的一个重要组成部分,因此,如何高效准确地提取出人物的家庭网络具有重要研究意义。该文在前人工作的基础上提出一种基于单文本指代消解技术的人物家庭关系抽取方法,以此扩大人物家庭关系抽取的范围,进而提高人物家庭网络的召回性能。该文还提出了一种基于人物虚拟边的家庭网络评估指标,用于更合理地评价构建出的人物家庭网络的性能。在大规模中文语料Gigaword上的实验表明,该方法可以较为准确地抽取出人物的家庭关系,进而提高人物家庭网络的召回性能,从而为社会网络分析提供基础数据。

Personal Family Network is an important component of social networks and it is of great importance of to extract personal family relationships auto matically. This paper proposes a novel method to extend the family rela- tion extraction via Within-Document Coreference Resolution, improving the recall of family networks constructed. Meanwhile, a new evaluation metric is devised to evaluate the performance of personal family networks more reason- ably. The experimental results on a large scale corpus of Gigaword show that, our method can extract accurate fami- ly relations while increase the recall of family networks, thereby laying the foundation for social network analysis.