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answering
2024-04-11
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering翻译笔记(知识感知问答、多跳关系推理)
文章目录论文标题:用于知识感知问答的可扩展的多跳关系推理摘要1简介2问题表述和概述部分3背景:多关系图编码方法4拟议的方法:多跳图关系网络(MHGRN)4.1MHGRN:模型架构4.2结构化关系注意力4.3计算复杂度分析4.4MHGRN的表现力4.5学习、推断和路径解码5实验设置5.1从
2023-10-22
UniKGQA Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Grap
目录概主要内容代码JiangJ.,ZhouK.,ZhaoW.andWenJ.UniKGQA:Unifiedretrievalandreasoningforsolvingmulti-hopquestionansweringoverknowledgegraph.ICLR,2023.概统一:从知识图谱中检索出相关的子图,并在子图中进行推理.主要内容我们有知识图谱
2023-06-21
ACL 2023 最新收录的对话、知识图谱、信息抽取相关文章
以下是2023年收录的所有文章连接:https://2023.aclweb.org/https://2023.aclweb.org/program/accepted_main_conference/https://2023.eacl.org/program/accepted/人机对话Span-SelectiveLinearAttentionTransformersforEffectiveandRobustSchema-GuidedDialogueSta
2022-12-21
论文解读:Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
论文解读:OpenDomainQuestionAnsweringUsingEarlyFusionofKnowledgeBasesandText 知识库问答通常存在一个问题,就是由于知识库不充分导致在一定的推理范围内无
2022-12-21
论文解读:Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases
论文解读:QueryGraphGenerationforAnsweringMulti-hopComplexQuestionsfromKnowledgeBases(2020ACL)简要信息:序号属性值1模型名称-2所属领域自然语言处理3研究内容KB
2022-12-21
论文解读:Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
论文解读:ImprovingQuestionAnsweringoverIncompleteKBswithKnowledge-AwareReader 知识库问答(KBQA)是一种领域问答系统(DomainQA),基本原理是给定一个问句和一个知
2022-11-29
工程交流
回答结构: Beginbyansweringthequestion(claim): Reason(s)why(premises)? GiveExamples: 正面反面, 要有引用的来源 (SiddiquiandSingh,201
2022-10-27
Question_Answering
代码地址:新建标签页(github.com)视频:https://www.bilibili.com/video/BV1dU4y1C7so/?p=4&vd_source=91219057315288b0881021e879825aa3阅读理解加载数据fromdatasets
2022-09-07
【ModelScope】5分钟让你在大火的多模态领域权威榜单VQA上超越人类
简介: ModelScope上开源了达摩院众多业界最强多模态模型,其中就有首超人类的多模态视觉问答模型mPLUG,小编从页面体验(一探)、开发体验(二探)、开放测试(三探)来探究多模态预训练模