数字图书馆论坛2024,Vol.20Issue(3):12-24,13.DOI:10.3772/j.issn.1673-2286.2024.03.002
融合情感语义与句法结构的中文开放域事理图谱构建研究
Construction of Chinese Open Domain Event Graph Integrating Sentiment Semantics and Syntactic Structure
摘要
Abstract
In the construction process of large-scale open domain event graph,lack of annotation data and unknown event types cause difficulties in the transfer of limited domain event graph construction method.To solve this problem,we utilize rule matching methods to efficiently identify multiple event logical relationships contained in open domain texts,and integrate sentiment semantics and syntactic structure information analysis to improve the accuracy of event extraction,in order to better complete the task of constructing event graphs.Firstly,we summarize and expand various logical relationship extraction templates such as cause and effect,succession,condition,transition,etc.,and screen logical relationship event sentences based on rule templates and dependency parsing information.Secondly,we innovatively introduce the sentiment semantic analysis method to accurately identify event types by capturing the sentiment semantics of events and inter-event relations on the basis of syntactic structural information,and then extract event arguments.Then,the semantic similarity is computed for event fusion,and the<preceding event,event logical relation,subsequent event>ternary is constructed to get the event graph,and further event generalization is performed to construct the abstract event graph.Finally,taking the"2022 Mpox Incident"event data as the data source,empirical analysis proves that the open domain event graph construction method can realize the identification of different types of events and reveal the logical relationships between events.Its effectiveness and feasibility are verified.The construction of the Chinese open domain event graph not only fills the gaps in the existing theories of event graph construction,but also provides powerful data support for decision-making and event development prediction.关键词
开放域/事理图谱/依存句法分析/语义依存分析/情感分析Key words
Open Domain/Event Graph/Dependency Parsing/Semantic Dependency Parsing/Sentiment Analysis分类
社会科学引用本文复制引用
赵又霖,林怡妮,石燕青..融合情感语义与句法结构的中文开放域事理图谱构建研究[J].数字图书馆论坛,2024,20(3):12-24,13.基金项目
本研究得到江苏省社会科学基金青年项目"社会感知数据驱动下的公共卫生事件时空演化研判机制研究"(编号:20TQC001)、中国博士后科学基金特别资助"面向应急管理的时空数据语义模型构建及创新应用机理研究"(编号:2021T140311)、中国博士后科学基金面上项目"环境污染突发事件的时空数据挖掘及协同治理机制研究"(编号:2019M650108)资助. (编号:20TQC001)