Personalizing Dialogue Agents: I have a dog, do you have pets too?
Montreal Institute for Learning Algorithms, MILA（蒙特利尔学习算法研究所（MILA））；Facebook AI Research（脸书人工智能研究院）
英文摘要：
Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating. In this work we present the task of making chit-chat more engaging by conditioning on profile information. We collect data and train models to (i) condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance prediction. Since (ii) is initially unknown our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
