As conversational agents become integral parts of many aspects of our lives, current approaches are reaching bottlenecks of performance that require increasing amounts of data or increasingly powerful models. It is also becoming clear that such agents are here to stay and accompany us for long periods of time. If we are, therefore, to design agents that can deeply understand our world and evolve with it, we need to take a step back and revisit the trade-offs we have made in the current state of the art models. This paper argues that a) we need to shift from slot filling into a more realistic conversation paradigm; and b) that, to realize that paradigm, we need models that are able to handle concrete and abstract entities as well as evolving relations between them.

中文翻译：

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与智能代理进行有意义的、有根据的对话

随着会话代理成为我们生活许多方面不可或缺的一部分，当前的方法正在达到性能瓶颈，需要越来越多的数据或越来越强大的模型。越来越明显的是，这些特工会在这里留下并陪伴我们很长一段时间。因此，如果我们要设计能够深入了解我们的世界并随之发展的代理，我们需要退后一步，重新审视我们在当前最先进模型中所做的权衡。本文认为 a) 我们需要从插槽填充转变为更现实的对话范式；b) 为了实现这种范式，我们需要能够处理具体和抽象实体以及它们之间不断发展的关系的模型。