《Proactive Human-Machine Conversation with Explicit Conversation Goals》
论文出处：ACL 2019 1. 摘要 论文提出了一种基于知识图谱能主导对话的对话系统，并开源了对应的数据集DuConv。该数据集涉及电影、导演和演员相关题材，包含3w个多轮对话，约27w个句子。每个对话包含一个目标三元组[START, TOPIC_A, TOPIC_B]，表示系统的目标是将对话主题从A引导到B；另外包括一系列跟TOPIC_A或者TOPIC_B有关的知识三元组，形式为（主体，谓词，
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相关文章
- 1. short text conversation: retrieval
- 2. 001_A private conversation
- 3. English conversation example in interview
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- 5. Lesson 10 Telephone Conversation 2
- 6. Leeson 11 Telephone Conversation 3
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- 8. LeetCode打卡（五）ZigZag Conversation
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