Task-Oriented Conversation Generation Using Heterogeneous Memory Networks

时间 2021-01-02

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EMNLP 2019 录用长文 Abstract 如何将外部知识库与对话模型结合起来是一个重要的问题。传统上人们是使用了Memory Network。然而当面对多种来源的、异构的info时，Mem对这些info的处理并不好（我理解的是权重的问题）。因此提出了HMN，它能同步的使用user utterances,dialogue history和backgroud knowledge tuple

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1. 《Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory》笔记
2. Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
3. Summary - Video Object Segmentation using Space-Time Memory Networks
4. Emotion Recognition Using Graph Convolutional Networks
5. 【ICJAI2018】Commonsense Knowledge Aware Conversation Generation with Graph Attention
6. 关于conversation generation的论文笔记
7. 【EMNLP2019】Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
8. Memory Networks
9. Review networks for caption generation
10. metapath2vec: Scalable Representation Learning for Heterogeneous Networks

>>更多相关文章<<