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...
Seyler, D., Yahya, M., Berberich, K.: Generating quiz questions from knowledge graphs. In: Proceedings of the 24th International Conference on World Wide Web. (2015)Dominic Seyler, Mohamed Yahya, and Klaus Berberich. Generating quiz questions from knowledge graphs. In Proceedings of the 24th ...
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...
WebQuestions QA datasets summary [GitHub] Entity Resolution [GitHub] KGE, KBC and KG Reasoning FB13 [Paper] FB15K [Paper] FB15K237 [Paper] WN11 [Paper] WN18 [Paper] WN18RR [Paper] Other Useflul Tools From Freebase to Wikidata: The Great Migration [Paper and useful links] SPARQL tutor...
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,...
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 ...
A graph is a graph is graph? RDF vs LPG Previous and related coverage: The web as a database: The biggest knowledge graph ever Imagine you could get the entire web in a database, and structure it. Then you would be able to get answers to complex questions in seconds by q...
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 ...
3.1.1 Analysis Questions 我们的指导性问题是如何将先验知识整合到机器学习架构中。我们的答案将特别关注三个方面。由于知信机器学习中的先验知识由独立的来源组成,并且需要某种形式的显式表示,因此我们考虑知识来源和表示方式。由于在机器学习架构的哪个部分整合什么样的知识也是至关重要的,我们也会考虑整合方法。简而言...
“the selected question-centric object already contains its context information, which provides indispensable clues for answering questions that involve multiple objects.” (Ding 等, 2022, p. 3) (pdf) 所选择的以问题为中心的对象已经包含了其上下文信息,这为回答涉及多个对象的问题提供了不可或缺的线索。