Sihan Zha


2023

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Jetsons at the FinNLP-2023: Using Synthetic Data and Transfer Learning for Multilingual ESG Issue Classification
Parker Glenn | Alolika Gon | Nikhil Kohli | Sihan Zha | Parag Pravin Dakle | Preethi Raghavan
Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting

2022

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Jetsons at the FinNLP-2022 ERAI Task: BERT-Chinese for mining high MPP posts
Alolika Gon | Sihan Zha | Sai Krishna Rallabandi | Parag Pravin Dakle | Preethi Raghavan
Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)

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.