1 citations · 2 across the 5 of their papers we have counts for
5 papers
L3iTC at the FinLLM Challenge Task: Quantization for Financial Text Classification & Summarization
Elvys Linhares Pontes, Carlos-Emiliano González-Gallardo, Mohamed Benjannet +2
This article details our participation (L3iTC) in the FinLLM Challenge Task 2024, focusing on two key areas: Task 1, financial text classification, and Task 2, financial text summa…
Forecasting Four Business Cycle Phases Using Machine Learning: A Case Study of US and EuroZone
Elvys Linhares Pontes, Mohamed Benjannet, Raymond Yung
Understanding the business cycle is crucial for building economic stability, guiding business planning, and informing investment decisions. The business cycle refers to the recurri…
Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification
Elvys Linhares Pontes, Mohamed Benjannet, Lam Kim Ming
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 environment, s…
Using contextual sentence analysis models to recognize ESG concepts
Elvys Linhares Pontes, Mohamed Benjannet, Jose G. Moreno +1
This paper summarizes the joint participation of the Trading Central Labs and the L3i laboratory of the University of La Rochelle on both sub-tasks of the Shared Task FinSim-4 eval…
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data
Elvys Linhares Pontes, Mohamed Benjannet
Newsletters and social networks can reflect the opinion about the market and specific stocks from the perspective of analysts and the general public on products and/or services pro…