论文标题

无法讲故事的语言模型有什么问题?

What is Wrong with Language Models that Can Not Tell a Story?

论文作者

Yamshchikov, Ivan P., Tikhonov, Alexey

论文摘要

本文认为,对叙事的更深入的理解和成功产生的文本较长的文本是一种至关重要的瓶颈,它阻碍了现代自然语言处理(NLP)的进步,甚至可能位于人工智能的整个领域。我们证明,没有足够的数据集,评估方法,甚至可以用来开始从事叙事处理的操作概念。

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.

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