Graph based question answering
WebMay 25, 2024 · Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin with introducing the background … WebJun 29, 2024 · The process steps of the multi-hop ELT knowledge test method based on knowledge graph embedding are as follows. (1) For the infant question and its head entity , is obtained by querying the embedding vector table obtained by pre-training. (2) The embedding vector of question is computed by the sentence vector embedding model.
Graph based question answering
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Web2 days ago · Question and answer This question is based on the following circle graph. The graph represents the results of a survey in which 400 people were asked to identify the TV channel on which they preferred to watch the evening news. WebMar 11, 2024 · Knowledge Graph Question Answering (KGQA) systems are based on machine learning algorithms, requiring thousands of question-answer pairs as training …
WebFeb 18, 2024 · Question Answering systems based on knowledge graphs — an example of a question and a query. To the right are some of the most famous knowledge graphs (Image by Author). Knowledge graphs are typically created based on the Resource Description Framework (RDF). Data in RDF is represented as triplets of the “subject … WebApr 26, 2024 · Users who have already adopted a question-answering (QA) approach with their personal devices, e.g., those powered by Alexa, Google Assistant, Siri, etc., are …
WebApr 26, 2024 · Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging to build QA systems which can learn to reason over knowledge graphs based on question-answer pairs alone.
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WebQA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. QA-GNN is an end-to-end question answering model that jointly reasons over the knowledge from pre-trained language models and knowledge graphs through graph neural networks. It achieves strong QA performance compared to existing KG or LM only … ios create new apple idWebDue to the rapid growth of knowledge graphs (KG) as representational learning methods in recent years, question-answering approaches have received increasing attention from academia and industry. Question-answering systems use knowledge graphs to organize, navigate, search and connect knowledge entities. Managing such systems requires a … on the trashy sideWebApr 7, 2024 · Knowledge Graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. Goal of the Question Answering over KG (KGQA) task is to answer natural language queries posed over the KG. Multi-hop KGQA requires reasoning over multiple edges of the KG to arrive at the right answer. ios cricketWebApr 20, 2024 · Images are more than a collection of objects or attributes -- they represent a web of relationships among interconnected objects. Scene Graph has emerged as a new modality for a structured graphical representation of images. Scene Graph encodes objects as nodes connected via pairwise relations as edges. To support question answering on … on the trapline reviewWebFeb 22, 2024 · A knowledge graph is a structured database which contains a collection of factoids with the format of . Currently, several large-scale knowledge graphs have been constructed, such as Freebase [], DBPedia [] and Yago [], which can be used to serve question answering tasks.One important application of … ios credit card rewards appWebNov 27, 2024 · Question answering (QA) is a hot field of research in Natural Language Processing. A big challenge in this field is to answer questions from knowledge … ios crash log toolWeb14 hours ago · Generally, a knowledge graph is a structured repository that contains a collection of facts in the form (subject, relation, object). Knowledge graph question answering (KGQA) is an important task that aims at answering natural language questions based on a given knowledge graph, providing an easy and intuitive way to … onthetrashyside clothing