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引用次数: 0
摘要
现在,计算机终于能够进行简单的对话,是时候探索用自然语言指令取代编程语言的潜力了。例如,只有不到1%的手机用户可以为他们的手机编程,为他们做新的事情,但如果这一系列的研究成功,我们可能会把这一比例提高到99%。这次演讲将描述我们最近的研究,探索我们如何让手机用户教他们的手机执行新的命令,使用自然语言交互和演示。这条研究路线代表了“会话机器学习”的范例,它补充了当前的数据密集型统计方法。如果成功,它将对许多类型的计算机界面产生影响,从让用户更多地控制他们的智能手机,到提供新一代可教的网络浏览器。这次演讲涵盖了与Igor Labutov, Forough Arabshahi, Brad Meyers, Shashank Srivastava, Toby Li, Jennifer Lee, Antoine Bosselut和Yeijin Choi的联合工作。
Can We Replace Programming Languages by Natural Instruction?
Now that computers are finally able to have simple conversations, it is time to explore the potential for replacing programming languages with natural language instruction. For example, less than 1% of phone users can program their phone to do new things for them, but if this line of research succeeds we might change that to 99%. This talk will describe our recent research exploring how we might enable phone users to teach their phones to perform new commands, using natural language interaction together with demonstrations. This line of research represents a paradigm of ``conversational machine learning'' that complements current data-intensive statistical approaches. If successful, it has implications for many types of computer interfaces, from giving users more control over their smart phones, to a providing a new generation of teachable web browsers. This talk covers joint work with Igor Labutov, Forough Arabshahi, Brad Meyers, Shashank Srivastava, Toby Li, Jennifer Lee, Antoine Bosselut, and Yeijin Choi.