传统的KBQA系统根据其框架共同特征,都可以大概分为四个模块。.这四个模块形成的整体框架,可以视为一个粗糙而通用的pipeline。.四个模块为:问题分析(QuestionAnalysis)、短语映射(PhraseMapping)、消歧(Disambiguation)和查询构建(QueryConstruction)。.3.1在...
RUCAIBox/KBQAPapers知识图谱问答KBQA论文集shijx12/TransferNetAnEffectiveandTransparentFrameworkforMulti-hopQuestionAnsweringoverRelationGraph多跳问题解答关系图的有效透明框架,通过每一跳都预测当前关系得分,并更新实体得分,直到最大跳数。
IJCAI2020图相关论文集“IJCAI(InternationalJointConferenceonArtificialIntelligence,国际人工智能联合会议),是人工智能领域中最主要的学术会议之一,是CCFA类会议。“本文将该会议与图相关的文…
2019全国知识图谱与语义计算大会(CCKS2019)评测论文集任务一:面向中文电子病历的命名实体识别基于BERT与模型融合的医疗命名实体识别乔锐,杨笑然,黄文亢TeamMSIIPatCCKS2019Task1MingluLiu,XuesiZhou,ZhengCao,andJiWu...
InsunKBQA:一个基于知识库的问答系统.周博通孙承杰林磊刘秉权.【摘要】:针对大规模知识库问答的特点,构建了1个包含3个主要步骤的问答系统:问句中的命名实体识别、问句与属性的映射和答案选择。.使用基于别名词典的排序方法进行命名实体识别,使用结合...
OneModelStructureforAllSub-TasksKBQASystemHanchuZhang,DeyiXiong,andXuanweiNian任务二:面向中文短文本的实体链指面向中文短文本的多因子融合实体链指研究吕荣荣,王鹏程,陈帅知识增强的实体消歧与实体类别判断潘春光,王胜广
IJCAI2020图相关论文集IJCAI2020图相关论文集由丶佛笑我妖提交于2021-02-1707:57:31↑公众号关注“Graph-AI...Two-PhaseHypergraphBasedReasoningwithDynamicRelationsforMulti-HopKBQAGNNBilinearGraphNeuralNetworkwith...
Instead,wesuggestthatKBQAmodelsshouldhavethreelevelsofbuilt-ingeneralization:i.i.d,compositional,andzero-shot.TofacilitatethedevelopmentofKBQAmodelswithstrongergeneralization,weconstructandreleaseanewlarge-scale,high-qualitydatasetwith64,331questions,GrailQA,andprovideevaluationsettingsforallthreelevelsofgeneralization.
Transformers基于transformer的预训练模型集fairseqFacebook开源的Seq2Seq模型集合AutoDL自动搜索最优超参,快速构建模型。TODO:待补充论文集
NLPCC2021Home.WelcometoNLPCC2021!The10thCCFInternationalConferenceonNaturalLanguageProcessingandChineseComputing(NLPCC2021)NLPCC2021Focus.NLPCC2021ImportantDates.PaperSubmissionDeadlines:June8,2021(Extended)Tutorials:October13-14,2021.Workshops:October15,2021.MainConference:October16-17,2021.
传统的KBQA系统根据其框架共同特征,都可以大概分为四个模块。.这四个模块形成的整体框架,可以视为一个粗糙而通用的pipeline。.四个模块为:问题分析(QuestionAnalysis)、短语映射(PhraseMapping)、消歧(Disambiguation)和查询构建(QueryConstruction)。.3.1在...
RUCAIBox/KBQAPapers知识图谱问答KBQA论文集shijx12/TransferNetAnEffectiveandTransparentFrameworkforMulti-hopQuestionAnsweringoverRelationGraph多跳问题解答关系图的有效透明框架,通过每一跳都预测当前关系得分,并更新实体得分,直到最大跳数。
IJCAI2020图相关论文集“IJCAI(InternationalJointConferenceonArtificialIntelligence,国际人工智能联合会议),是人工智能领域中最主要的学术会议之一,是CCFA类会议。“本文将该会议与图相关的文…
2019全国知识图谱与语义计算大会(CCKS2019)评测论文集任务一:面向中文电子病历的命名实体识别基于BERT与模型融合的医疗命名实体识别乔锐,杨笑然,黄文亢TeamMSIIPatCCKS2019Task1MingluLiu,XuesiZhou,ZhengCao,andJiWu...
InsunKBQA:一个基于知识库的问答系统.周博通孙承杰林磊刘秉权.【摘要】:针对大规模知识库问答的特点,构建了1个包含3个主要步骤的问答系统:问句中的命名实体识别、问句与属性的映射和答案选择。.使用基于别名词典的排序方法进行命名实体识别,使用结合...
OneModelStructureforAllSub-TasksKBQASystemHanchuZhang,DeyiXiong,andXuanweiNian任务二:面向中文短文本的实体链指面向中文短文本的多因子融合实体链指研究吕荣荣,王鹏程,陈帅知识增强的实体消歧与实体类别判断潘春光,王胜广
IJCAI2020图相关论文集IJCAI2020图相关论文集由丶佛笑我妖提交于2021-02-1707:57:31↑公众号关注“Graph-AI...Two-PhaseHypergraphBasedReasoningwithDynamicRelationsforMulti-HopKBQAGNNBilinearGraphNeuralNetworkwith...
Instead,wesuggestthatKBQAmodelsshouldhavethreelevelsofbuilt-ingeneralization:i.i.d,compositional,andzero-shot.TofacilitatethedevelopmentofKBQAmodelswithstrongergeneralization,weconstructandreleaseanewlarge-scale,high-qualitydatasetwith64,331questions,GrailQA,andprovideevaluationsettingsforallthreelevelsofgeneralization.
Transformers基于transformer的预训练模型集fairseqFacebook开源的Seq2Seq模型集合AutoDL自动搜索最优超参,快速构建模型。TODO:待补充论文集
NLPCC2021Home.WelcometoNLPCC2021!The10thCCFInternationalConferenceonNaturalLanguageProcessingandChineseComputing(NLPCC2021)NLPCC2021Focus.NLPCC2021ImportantDates.PaperSubmissionDeadlines:June8,2021(Extended)Tutorials:October13-14,2021.Workshops:October15,2021.MainConference:October16-17,2021.