论文标题
体验理由语言
Experience Grounds Language
论文作者
论文摘要
语言理解研究是由于未能将语言与它所描述的物理世界联系起来以及其促进的社会互动而阻碍了。尽管单独接受文本培训后，语言处理模型具有难以置信的有效性来解决任务，但成功的语言沟通依赖于世界的共同体验。正是这种共同的经历使话语有意义。 自然语言处理是一个多样的领域，整个发展的进步都来自新的代表性理论，建模技术，数据收集范式和任务。我们认为，在大型，仅文本的语料库中培训的代表性学习方法的当前成功需要对语言的更广泛的物理和社会背景进行研究的平行传统，以解决更深入的沟通问题。
Language understanding research is held back by a failure to relate language to the physical world it describes and to the social interactions it facilitates. Despite the incredible effectiveness of language processing models to tackle tasks after being trained on text alone, successful linguistic communication relies on a shared experience of the world. It is this shared experience that makes utterances meaningful. Natural language processing is a diverse field, and progress throughout its development has come from new representational theories, modeling techniques, data collection paradigms, and tasks. We posit that the present success of representation learning approaches trained on large, text-only corpora requires the parallel tradition of research on the broader physical and social context of language to address the deeper questions of communication.
