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Summarization of Investment Reports Using Pre-trained Model

arXiv 2408.01744 ↗First posted 3 Aug 2024cs.CLcited by 0

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Abstract (arXiv)

In this paper, we attempt to summarize monthly reports as investment reports. Fund managers have a wide range of tasks, one of which is the preparation of investment reports. In addition to preparing monthly reports on fund management, fund managers prepare management reports that summarize these monthly reports every six months or once a year. The preparation of fund reports is a labor-intensive and time-consuming task. Therefore, in this paper, we tackle investment summarization from monthly reports using transformer-based models. There are two main types of summarization methods: extractive summarization and abstractive summarization, and this study constructs both methods and examines which is more useful in summarizing investment reports.

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References · 17

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  9. 2019BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarizationcited by 155
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  11. 2021MS2: Multi-Document Summarization of Medical Studiescited by 80
  12. 2020Leveraging Graph to Improve Abstractive Multi-Document Summarizationcited by 67
5 more
  1. 2021PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarizationcited by 62
  2. 2019Neural Extractive Text Summarization with Syntactic Compressioncited by 36
  3. 2018Abstract Meaning Representation for Multi-Document Summarizationcited by 35
  4. 2021DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarizationcited by 34
  5. 2022Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarizationcited by 13

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