《杰森一家》在芬兰nlp -2022 ERAI任务:BERT-Chinese挖掘高MPP岗位

Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP) Pub Date : 1900-01-01 DOI:10.18653/v1/2022.finnlp-1.19

Alolika Gon, Sihan Zha, Sai Krishna Rallabandi, Parag Dakle, Preethi Raghavan

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引用次数: 1

摘要

在本文中，我们讨论了《杰森一家》团队在ERAI共享任务的“两两比较”子任务中比较盈利和亏损财务意见的各种方法。我们的BERT-Chinese模型考虑了一对意见，并以62.07%的准确率预测出最大潜在利润(MPP)更高的意见。我们分析了我们的方法在MPP和最大损失(ML)问题上的性能，并深入探讨了BERT-Chinese优于其他模型的原因。

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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Jetsons at the FinNLP-2022 ERAI Task: BERT-Chinese for mining high MPP posts

In this paper, we discuss the various approaches by the Jetsons team for the “Pairwise Comparison” sub-task of the ERAI shared task to compare financial opinions for profitability and loss. Our BERT-Chinese model considers a pair of opinions and predicts the one with a higher maximum potential profit (MPP) with 62.07% accuracy. We analyze the performance of our approaches on both the MPP and maximal loss (ML) problems and deeply dive into why BERT-Chinese outperforms other models.

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

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