论文翻译笔记:《Knowledge Base Question Answering via Encoding of Complex Query Graphs》 https:// 语义解析(SP)技术的目标是学习语义解析树或等价查询图1,用于表示问题的语义结构。例如,在图1中,查询图形成树形。答案节点A作为树的根,是表示真实答案实体的可变顶点。焦点节点(US、river、2nd)是从提及的问题中提...
Semantic-parsing-based KBQA methods perform question-answering tasks by executing constructed query graphs on the graph database. However, current semantic-parsing-based KBQA methods still face two non-negligible drawbacks: (1) The semantic-parsing-based methods are usually composed of independent ...
与现有的使用昂贵的语义相关性特征的工作相比,1)只依赖于简单的全局特征,即捕获与query的句法匹配或与KB的结构匹配,帮助过滤一些低质量的候选图;2)在相对较少的有潜力的图上运行计算密集型的排名阶段。 2 Methodology 介绍KB和query graph。包含四种类型的node,grounded entity 主题词;existential variables 属性值;l...
Complex Knowledge Base Question Answering is a popular area of research in the past decade. Recent public datasets have led to encouraging results in this field, but are mostly limited to English and only involve a small number of question types and relations, hindering research in more realistic...
Add a new resultLink an existing benchmark TrendTaskDataset VariantBest ModelPaperCode Knowledge Base Question Answering ComplexWebQuestions ChatKBQA Question Answering ComplexWebQuestions PoG Papers Dataset Loaders Edit AddRemove Tasks Edit AviationQA ...
论文解读:Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases(2020ACL) 简要信息: 一、摘要: 先前的工作关于从知识库中回答复杂的问题通常单独处理两类复杂的问题,分别是包含限制条件的问题和含有多跳推理的问题。本文目标是同时处理这两类问题。我们发现较早的将限制条件加...
Conversely, semantic parsers have been successful at handling compositionality, but only when the information resides in a target knowledge-base. In this paper, we present a novel framework for answering broad and complex questions, assuming answering simple questions is possible using a search engine...
knowledge base and learn a formal query language. To foster this research area, several training datasets have been created, e.g. in the QALD (Question Answering over Linked Data) initiative. However, existing datasets are insufficient in terms of size, variety or complexity to apply and ...
The first step computes question-relevant compact subgraphs within the knowledge graph that contain all cues required for answering the question, using Group Steiner Trees and fine-tuned BERT models, and judiciously enhances them with pertinent temporal facts.(第一步使用 Group Steiner Trees 和微调的 ...
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals(WSDM2021最新论文)合作者为人大的文继荣院长和赵鑫,提出了NSM,leaderboard上的结果超过了50 Using knowledge bases for question answering 作者的博士论文,实验结果和IJCAI2019一致 2. 谷歌的CBR Case-based Reasoning for...