论文标题

进行有意义的,扎根的对话

Towards meaningful, grounded conversations with intelligent agents

论文作者

Papangelis, Alexandros, Ultes, Stefan

论文摘要

随着对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需要增加数据或越来越强大的模型的性能瓶颈。同样很明显,这些代理商在这里留下来并陪伴我们很长一段时间。因此,如果我们要设计可以深入了解我们的世界并随着世界发展的代理商,那么我们需要退后一步,重新审视我们在最新模型的现状状态下进行的权衡。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)为了意识到范式,我们需要能够处理具体和抽象实体的模型以及它们之间的关系。

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.

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