FinNLP-2022 ERAI任务概述:评估业余投资者的基本原理

Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP) Pub Date : 1900-01-01 DOI:10.18653/v1/2022.finnlp-1.11

Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen

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引用次数: 6

摘要

本文概述了FinNLP-2022在EMNLP-2022中的共享任务，评估业余投资者的基本原理(ERAI)。这个共同的任务旨在整理投资意见，从而从社交平台中获得更高的利润。我们获得了19个注册团队;9个团队提交了最终评审结果，8个团队提交了论文分享他们的方法。讨论的方向是多种多样的:提示、微调、翻译系统比较和定制神经网络架构。我们提供任务设置、数据统计、参与者结果和细粒度分析的详细信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors

This paper provides an overview of the shared task, Evaluating the Rationales of Amateur Investors (ERAI), in FinNLP-2022 at EMNLP-2022. This shared task aims to sort out investment opinions that would lead to higher profit from social platforms. We obtained 19 registered teams; 9 teams submitted their results for final evaluation, and 8 teams submitted papers to share their methods. The discussed directions are various: prompting, fine-tuning, translation system comparison, and tailor-made neural network architectures. We provide details of the task settings, data statistics, participants’ results, and fine-grained analysis.

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Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)

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