Abstract
The financial reports usually reveal the recent development of the company and often cause the volatility in the company's share price. The opinions causing higher maximal potential profit and lower maximal loss can help the amateur investors choose rational strategies. FinNLP-2022 ERAI task aims to quantify the opinions' potentials of leading higher maximal potential profit and lower maximal loss. In this paper, different strategies were applied to solve the ERAI tasks. Valinna 'RoBERTa-wwm' showed excellent performance and helped us rank second in 'MPP' label prediction task. After integrating some tricks, the modified 'RoBERTa-wwm' outperformed all other models in 'ML' ranking task.
Cite
CITATION STYLE
Zhuang, Y., & Ren, F. (2022). Yet at the FinNLP-2022 ERAI Task: Modified models for evaluating the Rationales of Amateur Investors. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 132–135). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.finnlp-1.17
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