基于语义解析的中文GIS自然语言接口实现研究

该文对基于语义解析的中文地理信息系统(GIS)自然语言接口实现技术与方法进行了探索性的研究。首先,我们针对一个具体GIS应用领域设计和开发了一种函数式的形式化意义表示语言GISQL和一个中文语义解析标注语料库;然后,我们通过引入混合树作为隐变量用于构造输入句子与输出表示结构之间的对应关系,提出了一种基于含隐变量的感知器模型的语义解析算法。在开发的中文语义解析标注语料库上的实验结果显示,该文提出的语义解析算法的F1值达到了90.67％,明显优于baseline系统。更重要的是,该文的研究证明了基于语义解析方法实现中文GIS的自然语言接口是一种有效可行的途径。

Implementing NLIs to GISs Using Semantic Parsing

Natural Language Interfaces (NLIs) to the Geographical Information Systems (GISs) have not received a lot of attention in computational linguistics, in spite of the potential values of such systems for users of GISs. This paper presents a pilot study of implementing Chinese NLIs to GISs based on semantic parsing. First, we design a formal meaning representation language (MRL) related to a specific GIS application and develop a corresponding corpus. Second, we translate the natural language questions into GIS queries in MRL using semantic parsing. In particular, we propose a semantic parsing approach based on a latent structural perceptron with hybrid tree. Our evaluation results on the developed corpus show that the proposed methods significantly outperform the baseline approaches, and more importantly, demonstrate that it is feasible to build such NLIs to GISs using semantic parsing.