Automatically Generating Macro Research Reports from a Piece of News
November 21, 2019 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Wenxin Hu, Xiaofeng Zhang, Gang Yang
arXiv ID
1911.09572
Category
cs.CL: Computation & Language
Cross-listed
cs.IR,
cs.LG
Citations
1
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Automatically generating macro research reports from economic news is an important yet challenging task. As we all know, it requires the macro analysts to write such reports within a short period of time after the important economic news are released. This motivates our work, i.e., using AI techniques to save manual cost. The goal of the proposed system is to generate macro research reports as the draft for macro analysts. Essentially, the core challenge is the long text generation issue. To address this issue, we propose a novel deep learning technique based approach which includes two components, i.e., outline generation and macro research report generation.For the model performance evaluation, we first crawl a large news-to-report dataset and then evaluate our approach on this dataset, and the generated reports are given for the subjective evaluation.
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