A Diversity-Promoting Objective Function for Neural Conversation Models
該論文提出了基於最大互信息（Maximum Mutual Information—MMI）的指望計算思想。web 傳統的生成模型計算方式是：target = argmax（logP（T|S）），即在source給定的條件下，尋找出最大機率的target。 這樣的計算方式所帶來的問題是會生成通常性的，具備大機率事件的target，失去了target的多樣性。 由互信息公式得： 該論文基於MMI思想，
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相關文章
- 1. A Diversity-Promoting Objective Function for Neural Conversation Models
- 2. A Diversity-Promoting Objective Function for Neural Conversation
- 3. A Diversity-Promoting Objective Function for Neural Conversation Models論文閱讀
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- 5. short text conversation: neural network
- 6. A Knowledge-Grounded Neural Conversation Model
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- 9. Deep Reinforcement Learning for Dialogue Generation 論文閱讀 A Diversity-Promoting Objective Function fo
- 10. A Persona-Based Neural Conversation Model論文