Document Summarization with Text Segmentation

• URL: http://arxiv.org/abs/2301.08817v1
• Date: Fri, 20 Jan 2023 22:24:22 GMT
• Title: Document Summarization with Text Segmentation
• Authors: Lesly Miculicich and Benjamin Han
• Abstract summary: We exploit the innate document segment structure for improving the extractive summarization task. We build two text segmentation models and find the most optimal strategy to introduce their output predictions.
• Score: 7.954814600961461
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we exploit the innate document segment structure for improving the extractive summarization task. We build two text segmentation models and find the most optimal strategy to introduce their output predictions in an extractive summarization model. Experimental results on a corpus of scientific articles show that extractive summarization benefits from using a highly accurate segmentation method. In particular, most of the improvement is in documents where the most relevant information is not at the beginning thus, we conclude that segmentation helps in reducing the lead bias problem.

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