[NLU] Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph
總述： 通過構造一種global attention的機制以及構造了symptom的圖，提高了在醫療對話中，對於每一句話出現symptom的預測精度。以及提高了symptom inference（對於一種症狀，病人是否有）的精度 貢獻： 1.有一個開源的中文醫療對話數據集，大約兩千多個對話，標註了BIO，做了symptom normalization。有四種病，大約162中症狀 2.結合了一個gl
相關文章
- 1. [NLU] Improving Multi-turn Dialogue Modelling with Utterance ReWriter
- 2. 論文總結 | Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
- 3. 論文筆記——Permutohedral-GCN: Graph Convolutional Networks with Global Attention
- 4. Survey of modern Fault Diagnosis methods in networks
- 5. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 6. Paper Notes: Graph Attention Networks
- 7. 【論文解讀 EMNLP 2019 | MOGANED】ED with Multi-Order Graph Convolution and Aggregated Attention
- 8. 【ICJAI2018】Commonsense Knowledge Aware Conversation Generation with Graph Attention
- 9. ICML2019 Self-Attention Graph Pooling
- 10. TextSpotter with Explicit Alignment and Attention
- 更多相關文章...
- • XSL-FO table-and-caption 對象 - XSL-FO 教程
- • W3C RDF and OWL 活動 - W3C 教程
- • RxJava操作符（七）Conditional and Boolean
- • 算法總結-股票買賣
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. [NLU] Improving Multi-turn Dialogue Modelling with Utterance ReWriter
- 2. 論文總結 | Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
- 3. 論文筆記——Permutohedral-GCN: Graph Convolutional Networks with Global Attention
- 4. Survey of modern Fault Diagnosis methods in networks
- 5. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 6. Paper Notes: Graph Attention Networks
- 7. 【論文解讀 EMNLP 2019 | MOGANED】ED with Multi-Order Graph Convolution and Aggregated Attention
- 8. 【ICJAI2018】Commonsense Knowledge Aware Conversation Generation with Graph Attention
- 9. ICML2019 Self-Attention Graph Pooling
- 10. TextSpotter with Explicit Alignment and Attention