论文标题
基于语义框架的时间问题，用于时间问题，回答知识图
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs
论文作者
论文摘要
近年来，以暂时的意图回答事实问题（时间kgqa）引起了人们的关注。在一生的时间查询中，现有的KGQA方法忽略了以下事实：事件之间的某些内在连接可以使它们在时间上相关，这可能会限制其能力。我们系统地分析了时间约束的可能解释，并将解释结构作为时间约束的语义框架，SF-TCON。基于语义框架，我们提出了一个时间问题回答方法SF-TQA，该方法通过探索上述实体的相关事实来生成查询图，其中探索过程受SF-TCON的限制。我们的评估表明，SF-TQA在不同知识图上的两个基准上的现有方法显着优于现有方法。
Answering factual questions with temporal intent over knowledge graphs (temporal KGQA) attracts rising attention in recent years. In the generation of temporal queries, existing KGQA methods ignore the fact that some intrinsic connections between events can make them temporally related, which may limit their capability. We systematically analyze the possible interpretation of temporal constraints and conclude the interpretation structures as the Semantic Framework of Temporal Constraints, SF-TCons. Based on the semantic framework, we propose a temporal question answering method, SF-TQA, which generates query graphs by exploring the relevant facts of mentioned entities, where the exploring process is restricted by SF-TCons. Our evaluations show that SF-TQA significantly outperforms existing methods on two benchmarks over different knowledge graphs.
