Abstract
In this position paper, we contend that advancing our understanding of narrative and the effective generation of longer, subjectively engaging texts is crucial for progress in modern Natural Language Processing (NLP) and potentially the broader field of Artificial Intelligence. We highlight the current lack of appropriate datasets, evaluation methods, and operational concepts necessary for initiating work on narrative processing.
Cite
CITATION STYLE
Yamshchikov, I. P., & Tikhonov, A. (2023). What is Wrong with Language Models that Can Not Tell a Story? In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 58–64). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.wnu-1.8
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