Z. Wang, J. Zhang, J. Feng, and Z. Chen, “Knowledge graph embedding by translating on hyperplanes,” in Proc. 28th AAAI Conf. Artif. Intell., 2014, pp. 1112–1119. Y. Lin, Z. Liu, M. Sun, Y. Liu, and X. Zhu, “Learning entity and relation embeddings for knowledge graph ...
Complex Question Answering over Knowledge Graph (C-KGQA) seeks to solve complex questions using knowledge graphs. Currently, KGQA systems achieve great success in answering simple questions, while complex questions still present challenging issues. As a result, an increasing numbe...
Knowledge Graph Completion(知识补全) 由于知识图谱存在的天然的不完全性,KGC的任务就是向知识图谱中添加新的三元组。典型的子任务包括链接预测实体预测和关系预测。 该任务可定义为:给定一个不完全的知识图谱\mathcal{G} = (\mathcal{E}, \mathcal{R}, \mathcal{F})。KGC的目的是推断出缺失的三元组\mathc...
1questionAnsweringsystemQuestionAnsweringSystem是一个Java实现的人机问答系统,能够自动分析问题并给出候选答案。 2QABasedOnMedicaKnowledgeGraph从无到有搭建一个以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。python 3DeepPavlovAn open source library for deep learning end-to-end dia...
论文标题(A Survey on Knowledge Graphs:Representation, Acquisition and Applications) https://arxiv.org/abs/2002.00388 知识图谱(Knowledge Graph)# 知识图谱是对事实的结构化表示,由实体、关系和语义描述构成。 实体可以是真实世界的对象也可以是抽象的概念 ...
Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Early studies mainly focused on answering simple questions over KBs and achieved great success. However, their performance on complex questions is still far from satisfactory. Therefore, in recent years,...
[SITIS 2022] Multimodal Knowledge Reasoning for Enhanced Visual Question Answering. [KBS 2022] Fact-based visual question answering via dual-process system. [ISWC 2021] Zero-Shot Visual Question Answering Using Knowledge Graph. [ISWC 2021] Graphhopper: Multi-hop Scene Graph Reasoning for Visual Quest...
1questionAnsweringsystemQuestionAnsweringSystem是一个Java实现的人机问答系统,能够自动分析问题并给出候选答案。 2QABasedOnMedicaKnowledgeGraph从无到有搭建一个以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。python 3DeepPavlovAn open source library for deep learning end-to-end dia...
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...
nlpdata-miningcomputer-visiondeep-learningknowledge-graphspatial-temporal UpdatedAug 16, 2024 Python A collection of research on knowledge graphs natural-language-processinginformation-retrievalpapersurveyknowledge-graphquestion-answeringrepresentation-learningcross-modalknowledge-graph-completionnerdialogue-systemsreason...