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arXiv · 2112.01660

The Influence of Data Pre-processing and Post-processing on Long Document Summarization

Xinwei Du·Kailun Dong·Yuchen Zhang·Yongsheng Li·Ruei-Yu Tsay
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Abstract

Long document summarization is an important and hard task in the field of natural language processing. A good performance of the long document summarization reveals the model has a decent understanding of the human language. Currently, most researches focus on how to modify the attention mechanism of the transformer to achieve a higher ROUGE score. The study of data pre-processing and post-processing are relatively few. In this paper, we use two pre-processing methods and a post-processing method and analyze the effect of these methods on various long document summarization models.

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Xinwei Du, Kailun Dong, Yuchen Zhang, Yongsheng Li, Ruei-Yu Tsay. 2021-12-03. The Influence of Data Pre-processing and Post-processing on Long Document Summarization. https://arxiv.org/abs/2112.01660

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