論文筆記：基於外部知識的會話模型Commonsense Knowledge Aware Conversation Generation with Graph Attention
Commonsense Knowledge Aware Conversation Generation with Graph Attention 1 出發點 現有的具有外部知識的模型，大多采用非結構化、開放域知識或者結構化、小規模、特定域的知識，這就導致模型存在依賴高質量的非結構化知識的問題或者在開放域的對話場景下表現不佳的問題。而且，大多數模型通常孤立地利用知識三元組（實體），而不
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相關文章
- 1. 【ICJAI2018】Commonsense Knowledge Aware Conversation Generation with Graph Attention
- 2. 論文筆記：基於外部知識的會話模型Learning to Select Knowledge for Response Generation in Dialog Systems
- 3. 【EMNLP2019】Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
- 4. EMNLP2019 | Knowledge-Aware Graph Networks
- 5. Efficient Graph Generation with Graph Recurrent Attention Networks--NIPS2019--論文筆記
- 6. 關於conversation generation的論文筆記
- 7. 【PaperReading】Text Generation from Knowledge Graphs with Graph Transformers
- 8. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 9. 論文筆記:OpenDialKG:Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graph
- 10. GRAPH ATTENTION NETWORKS論文筆記