This paper argues that a deeper understanding of narrative and the successful generation of longer subjectively interesting texts is a vital bottleneck that hinders the progress in modern Natural Language Processing (NLP) and may even be in the whole field of Artificial Intelligence. We demonstrate that there are no adequate datasets, evaluation methods, and even operational concepts that could be used to start working on narrative processing.
翻译:本文认为,更深入地理解叙事和成功地产生长期主观上有趣的文字是一个关键的瓶颈,它阻碍现代自然语言处理(NLP)的进展,甚至可能存在于整个人工智能领域。 我们证明没有适当的数据集、评估方法,甚至操作概念可以用来开始叙述处理工作。