157 citations · 204 across the 11 of their papers we have counts for
12 papers
Corpora deduplication or duplication in Natural Language Processing of few resourced languages ? A case of study: The Mexico's Nahuatl
Juan-José Guzman-Landa, Juan-Manuel Torres-Moreno, Graham Ranger +4
In this article, we seek to answer the following question: could data duplication be useful in Natural Language Processing (NLP) for languages with limited computational resources?…
Financial News Summarization: Can extractive methods still offer a true alternative to LLMs?
Nicolas Reche, Elvys Linhares-Pontes, Juan-Manuel Torres-Moreno
Financial markets change rapidly due to news, economic shifts, and geopolitical events. Quick reactions are vital for investors to avoid losses or capture short-term gains. As a re…
A symbolic Perl algorithm for the unification of Nahuatl word spellings
Juan-José Guzmán-Landa, Jesús Vázquez-Osorio, Juan-Manuel Torres-Moreno +6
In this paper, we describe a symbolic model for the automatic orthographic unification of Nawatl text documents. Our model is based on algorithms that we have previously used to an…
Backtesting Sentiment Signals for Trading: Evaluating the Viability of Alpha Generation from Sentiment Analysis
Elvys Linhares Pontes, Carlos-Emiliano González-Gallardo, Georgeta Bordea +4
Sentiment analysis, widely used in product reviews, also impacts financial markets by influencing asset prices through microblogs and news articles. Despite research in sentiment-d…
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…
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…
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes +2
After decades of massive digitisation, an unprecedented amount of historical documents is available in digital format, along with their machine-readable texts. While this represent…
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno +2
Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences. MSC enables summarization and question-answering sy…
Predicting the Semantic Textual Similarity with Siamese CNN and LSTM
Elvys Linhares Pontes, Stéphane Huet, Andréa Carneiro Linhares +1
Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP). Our system combines convolution and recurrent neural networks to measure t…
LIA-RAG: a system based on graphs and divergence of probabilities applied to Speech-To-Text Summarization
Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares
This paper aims to introduces a new algorithm for automatic speech-to-text summarization based on statistical divergences of probabilities and graphs. The input is a text from spee…