We address the novel problem of automatically generating quiz-style knowledge questions from a knowledge graph such as DBpedia. Questions of this kind have ample applications, for instance, to educate users about or to evaluate their knowledge in a specific domain. To solve the problem, we propos...
Recent years have seen a surge in the popularity of Knowledge Graphs (KG), making it a crucial research area to develop natural language questions derived from KG. However, previous works have predominantly focused on question generation, with limited attention given to generating controllable ...
This is the first survey paper of KDG, which covers representative KDG methods from 26 publications since 2020. • We systematically survey and categorize existing works by answering three questions: 1) what to distillate, 2) who to whom, and 3) how to distillate. • We discuss the promi...
Knowledge graph question answering (KGQA) involves answering natural language questions by leveraging structured information stored in a knowledge graph. Typically, KGQA initially retrieve a targeted subgraph from a large-scale knowledge graph, which serves as the basis for reasoning models to address que...
(TKGQA), which specifically addresses temporal questions using Temporal Knowledge Graphs (TKGs) (Leblay and Chekol, 2018a). Temporal questions include temporal constraints or require timestamped answers, reflecting the dynamic and evolving nature of real-world events. The answer can vary ...
Agents that build knowledge graphs and explore textual worlds by asking questions natural-language-processing reinforcement-learning interactive-fiction exploration text-games knowledge-graphs Updated Aug 9, 2023 Python shigapov / wikibase-knowledge-graphs Star 66 Code Issues Pull requests A ...
Developing a Knowledge Graph for a Question Answering System to Answer Natural Language Questions on German GrammarKnowledge GraphOntology developmentGerman grammarQuestion Answering SystemQuestion Answering Systems for retrieving information from Knowledge Graphs (KG) have become a major area of interest in ...
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs.Hongyu Ren, Jure Leskovec.NeurIPS 2020.papercode (Dataset: WikiTableQuestions)Compositional Semantic Parsing on Semi-Structured Tables.Panupong Pasupat, Percy Liang.ACL 2015.papercode ...
within the Content Knowledge Graph, which makes it stateless and a less resource-intensive solution. Furthermore, companies can avoid providing all their data to the LLM as this method introduces a control point to the Knowledge Graph owner to only allow questions on their data that they approve...
所以,a plain vector similarity search会存在multi-hop questions. 但是,我们可以使用多种策略来回答multi-hop questions requiring information from各种各样的文档。 Knowledge Graph as Condensed(浓缩的) Information Storage 大多数使用 LLM 来回答我们遇到的多跳问题的新方法都集中在查询时解决任务。但是,我们认为,...