Request Correction
Use this form to request corrections to the paper metadata. Select the fields that need correction and provide the correct information.
Correction Guidelines
- Click the edit button next to a field to report a correction.
- Fill in the suggested correction value for each field you want to correct.
- Provide your name and email so we can contact you if needed.
Paper Information
Duration Dynamics: Fin-Turbo’s Rapid Route to ESG Impact Insight
Paper Fields
Click the edit button next to a field to report a correction.
Duration Dynamics: Fin-Turbo’s Rapid Route to ESG Impact Insight
This study introduces “Duration Dynamics: Fin-Turbo’s Rapid Route to ESG Impact Insight”, an innovative approach employing advanced Natural Language Processing (NLP) techniques to assess the impact duration of ESG events on corporations. Leveraging a unique dataset comprising multilingual news articles, the research explores the utility of machine translation for language uniformity, text segmentation for contextual understanding, data augmentation for dataset balance, and an ensemble learning method integrating models like ESG-BERT, RoBERTa, DeBERTa, and Flan-T5 for nuanced analysis. Yielding excellent results, our research showcases the potential of using language models to improve ESG-oriented decision-making, contributing valuable insights to the FinNLP community.
Authors
Expand an author to correct their information. Use the remove button to request author removal, or add a new author.
PDF Attachment
You may attach a PDF as a corrected version of the paper. Max file size: 10MB. Only PDF files are accepted.
Your Information
Author Declaration *
Select at least one field to correct using the edit buttons above.