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Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models
April 2, 2024, 7:51 p.m. | Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan
cs.CL updates on arXiv.org arxiv.org
Abstract: In this paper, we describe the different approaches explored by the Jetsons team for the Multi-Lingual ESG Impact Duration Inference (ML-ESG-3) shared task. The shared task focuses on predicting the duration and type of the ESG impact of a news article. The shared task dataset consists of 2,059 news titles and articles in English, French, Korean, and Japanese languages. For the impact duration classification task, we fine-tuned XLM-RoBERTa with a custom fine-tuning strategy and using …
abstract article arxiv cs.cl esg impact inference paper team transformer transformer-based models type understanding
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