Multi-lingual esg impact duration inference
To accurately assess the dynamic impact of a company's activities on its Environmental,
Social, and Governance (ESG) scores, we have initiated a series of shared tasks, named ML …
Social, and Governance (ESG) scores, we have initiated a series of shared tasks, named ML …
The finben: An holistic financial benchmark for large language models
Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He… - arXiv preprint arXiv …, 2024 - arxiv.org
LLMs have transformed NLP and shown promise in various fields, yet their potential in
finance is underexplored due to a lack of thorough evaluations and the complexity of …
finance is underexplored due to a lack of thorough evaluations and the complexity of …
Dynamicesg: A dataset for dynamically unearthing esg ratings from news articles
This paper introduces the DynamicESG dataset, a unique resource for dynamically
extracting ESG ratings from news articles. The ESG rating, a novel metric employed annually …
extracting ESG ratings from news articles. The ESG rating, a novel metric employed annually …
Leveraging bert language models for multi-lingual esg issue identification
EL Pontes, M Benjannet, LK Ming - arXiv preprint arXiv:2309.02189, 2023 - arxiv.org
Environmental, Social, and Governance (ESG) has been used as a metric to measure the
negative impacts and enhance positive outcomes of companies in areas such as the …
negative impacts and enhance positive outcomes of companies in areas such as the …
[PDF][PDF] Jetsons at the FinNLP-2023: Using synthetic data and transfer learning for multilingual ESG issue classification
In this paper, we describe the various approaches by the Jetsons team for the Multilingual
ESG Issue Identification Task (ML-ESG) to classify articles into ESG (environmental, social …
ESG Issue Identification Task (ML-ESG) to classify articles into ESG (environmental, social …
[PDF][PDF] Hkesg at the ml-esg task: Exploring transformer representations for multilingual esg issue identification
I Mashkin, E Chersoni - Proceedings of the Fifth Workshop on …, 2023 - aclanthology.org
Abstract Environmental, Social and Governance reports have to be periodically released by
financial companies, as they represent an essential guide for the potential, socially …
financial companies, as they represent an essential guide for the potential, socially …
Natural language processing in finance: A survey
This survey presents an in-depth review of the transformative role of Natural Language
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …
EaSyGuide: ESG issue identification framework leveraging abilities of generative large language models
H Lee, J Choi, S Kwon, S Jung - arXiv preprint arXiv:2306.06662, 2023 - arxiv.org
This paper presents our participation in the FinNLP-2023 shared task on multi-lingual
environmental, social, and corporate governance issue identification (ML-ESG). The task's …
environmental, social, and corporate governance issue identification (ML-ESG). The task's …
Jetsons at finnlp 2024: Towards understanding the esg impact of a news article using transformer-based models
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 …
Multi-Lingual ESG Impact Duration Inference (ML-ESG-3) shared task. The shared task …
ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning
S Mishra - Proceedings of the Sixth Workshop on Financial …, 2023 - aclanthology.org
In this paper, we describe our approach to the ML-ESG-2 shared task, co-located with the
FinNLP workshop at IJCNLP-AACL-2023. The task aims at classifying news articles into …
FinNLP workshop at IJCNLP-AACL-2023. The task aims at classifying news articles into …