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机器学习论文:你是什​​么意思我好笑?(What Do You Mean I'm Funny? Personalizing the Joke Skil

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comceo 发表于 2019-12-9 13:52:23 | 显示全部楼层 |阅读模式
comceo 2019-12-9 13:52:23 210 0 显示全部楼层
机器学习论文:你是什​​么意思我好笑?(What Do You Mean I'm Funny? Personalizing the Joke Skill of a  Voice-Controlled Virtual Assistant)语音控制虚拟助手(VVA)成功经历的很大一部分原因是他们提供的情感和个性化体验,幽默是提供互动互动的关键组成部分。在本文中,我们介绍了用于提高语音笑话技巧的方法。通过个性化的VVA。第一种方法基于传统的NLP技术,具有鲁棒性和可伸缩性。其他系统则结合了自注意力网络和多任务学习,从而获得了更好的结果,但是却增加了复杂性。这些系统面临的一个重大挑战是缺乏为模型提供标签所需的明确用户反馈。相反,我们探索了两种基于隐式反馈的标记策略的使用。所有模型均根据实际生产数据进行评估。在线结果表明,在任何考虑的标签上训练的模型均优于启发式方法,从而对用户满意度产生了积极的现实影响。离线结果表明,相对于其他考虑的方法,深度学习方法可以改善笑话体验。
A considerable part of the success experienced by Voice-controlled virtualassistants (VVA) is due to the emotional and personalized experience theydeliver, with humor being a key component in providing an engaging interaction.In this paper we describe methods used to improve the joke skill ofa VVAthrough personalization.The first method, based on traditional NLP techniques,is robust and scalable.The others combine self-attentional network andmulti-task learning to obtain better results, at the cost of added complexity.A significant challenge facing these systems is the lack of explicit userfeedback needed to provide labels for the models.Instead, we explore the useof two implicit feedback-based labelling strategies.All models were evaluatedon real production data.Online results show that models trained on any of theconsidered labels outperform a heuristic method, presenting a positivereal-world impact on user satisfaction.Offline results suggest that thedeep-learning approaches can improve the joke experience with respect to theother considered methods.机器学习论文:你是什​​么意思我好笑?(What Do You Mean I'm Funny? Personalizing the Joke Skill of a  Voice-Controlled Virtual Assistant)
URL地址:https://arxiv.org/abs/1912.03234     ----pdf下载地址:https://arxiv.org/pdf/1912.03234    ----机器学习论文:你是什​​么意思我好笑?(What Do You Mean I'm Funny? Personalizing the Joke Skill of a  Voice-Controlled Virtual Assistant)
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