电网运行管理文档中的领域用语专业且复杂,在信息化提取的过程中需要优秀且适用的事件检测方法抽取事件主体.而当前的中文事件检测方法大多采用词嵌入技术以捕获语义表示,但这些方法难以捕捉触发词与同一句子中的其他领域词汇间的依赖关系.基于上述现状,提出了一种混合表示的新架构,以表征两个字符和单词的语义和结构信息.该模型可以通过依赖性解析器生成的语义表示来捕获富语义特征.实验基于调度日志、调度检修票、调度预案语料使用不同模型进行评估,结果表明,该方法可以显著提高电网调度文本事件检测的性能.

The domain terms in power grid operation management documents are professional and complex. In the process of information extraction, excellent and applicable event detection methods are needed to extract event subjects. However, most of the current Chinese event detection methods use the word embedding technology to capture semantic representation, but it is difficult for these methods to capture the dependency between trigger words and other domain words in the same sentence. Based on the above situation, this paper proposes a novel hybrid representation architecture to represent the semantic and structural information of two characters and words. The model can capture rich semantic features through the semantic representation generated by the dependency parser. The experiment is based on the corpus of dispatching log, dispatching maintenance ticket, and dispatching plan. The results show that this method can significantly improve the performance of power grid dispatching text event detection.