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【论文解读 AAAI 2021】Few-shot Learning for Multi-label Intent Detection
论文题目:Few-shot Learning for Multi-label Intent Detection论文来源:AAAI 2021论文链接:https://arxiv.org/abs/2010.05256代码链接:https://github.com/AtmaHou/FewShotMultiLabel关键词:少样本学习(FSL);多标签分类(MLC);用户意图检测;核回归;BERT;元学习文章目录1 摘要2 引言3 问题定义4 方法4.1 用于少样本多标签意图检测的框架4.2 元刻度阈.原创 2021-02-19 18:01:07 · 2184 阅读 · 0 评论 -
【论文解读 COLING 2018 Best evaluation| SGM】SGM: Sequence Generation Model for Multi-Label Classification
论文题目:SGM: Sequence Generation Model for Multi-Label Classification论文来源:COLING 2018,Best evaluation论文链接:https://www.aclweb.org/anthology/C18-1330/代码链接:https://github.com/lancopku/SGM关键词:多标签分类(MLC),序列生成这篇文章是COLING 2018的Best evaluation文章目录1 摘要2 引言3 .原创 2021-01-27 21:14:05 · 525 阅读 · 0 评论 -
【论文解读 WSDM 2020 | KRF】Integrating Knowledge Relations into Style Correlations for 多标签音乐风格分类
论文题目:Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification论文来源:WSDM 2020论文链接:https://dl.acm.org/doi/10.1145/3336191.3371838代码链接:https://github.com/Makwen1995/MusicGenre关键词:音乐风格.原创 2021-01-26 22:40:53 · 610 阅读 · 0 评论