Proposal Report for the 2nd SciCAP Competition 2024

• URL: http://arxiv.org/abs/2407.01897v1
• Date: Tue, 2 Jul 2024 02:42:29 GMT
• Title: Proposal Report for the 2nd SciCAP Competition 2024
• Authors: Pengpeng Li, Tingmin Li, Jingyuan Wang, Boyuan Wang, Yang Yang,
• Abstract summary: We propose a method for document summarization using auxiliary information. Our experiments demonstrate that leveraging high-quality OCR data enables efficient summarization of the content related to described objects. Our method achieved top scores of 4.33 and 4.66 in the long caption and short caption tracks, respectively, of the 2024 SciCAP competition.
• Score: 20.58804817441756
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this paper, we propose a method for document summarization using auxiliary information. This approach effectively summarizes descriptions related to specific images, tables, and appendices within lengthy texts. Our experiments demonstrate that leveraging high-quality OCR data and initially extracted information from the original text enables efficient summarization of the content related to described objects. Based on these findings, we enhanced popular text generation model models by incorporating additional auxiliary branches to improve summarization performance. Our method achieved top scores of 4.33 and 4.66 in the long caption and short caption tracks, respectively, of the 2024 SciCAP competition, ranking highest in both categories.

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