Search Results for author: Elvys Linhares Pontes

Found 17 papers, 2 papers with code

Exploratory Analysis of News Sentiment Using Subgroup Discovery

no code implementations EACL (BSNLP) 2021 Anita Valmarska, Luis Adrián Cabrera-Diego, Elvys Linhares Pontes, Senja Pollak

In this study, we present an exploratory analysis of a Slovenian news corpus, in which we investigate the association between named entities and sentiment in the news.

Descriptive named-entity-recognition +3

Forecasting Four Business Cycle Phases Using Machine Learning: A Case Study of US and EuroZone

no code implementations27 May 2024 Elvys Linhares Pontes, Mohamed Benjannet, Raymond Yung

Specifically, MLR got the best results by achieving the accuracy of 65. 25% (Top1) and 84. 74% (Top2) for the EuroZone and 75% (Top1) and 92. 14% (Top2) for the United States.

Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification

no code implementations5 Sep 2023 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, society, and governance.


Using contextual sentence analysis models to recognize ESG concepts

no code implementations4 Jul 2022 Elvys Linhares Pontes, Mohamed Benjannet, Jose G. Moreno, Antoine Doucet

For the second sub-task, we combine the RoBERTa model with a feed-forward multi-layer perceptron in order to extract the context of sentences and classify them.


Contextual Sentence Analysis for the Sentiment Prediction on Financial Data

no code implementations27 Dec 2021 Elvys Linhares Pontes, Mohamed Benjannet

Indeed, the combination of contextual sentence analysis with the financial and general sentiment dictionaries provided useful information to our model and allowed it to generate more reliable sentiment scores.

Sentence Sentiment Analysis

Named Entity Recognition and Classification on Historical Documents: A Survey

1 code implementation23 Sep 2021 Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes, Matteo Romanello, Antoine Doucet

After decades of massive digitisation, an unprecedented amount of historical documents is available in digital format, along with their machine-readable texts.

Classification named-entity-recognition +2

CTLR@WiC-TSV: Target Sense Verification using Marked Inputs andPre-trained Models

no code implementations SemDeep 2021 José G. Moreno, Elvys Linhares Pontes, Gaël Dias

This paper describes the CTRL participation in the Target Sense Verification of the Words in Context challenge (WiC-TSV) at SemDeep6.

Entity Linking Position

Alleviating Digitization Errors in Named Entity Recognition for Historical Documents

1 code implementation CONLL 2020 Emanuela Boros, Ahmed Hamdi, Elvys Linhares Pontes, Luis Adri{\'a}n Cabrera-Diego, Jose G. Moreno, Nicolas Sidere, Antoine Doucet

This paper tackles the task of named entity recognition (NER) applied to digitized historical texts obtained from processing digital images of newspapers using optical character recognition (OCR) techniques.

named-entity-recognition Named Entity Recognition +3

A Multilingual Study of Compressive Cross-Language Text Summarization

no code implementations24 Oct 2018 Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno

Cross-Language Text Summarization (CLTS) generates summaries in a language different from the language of the source documents.

Cross-Language Text Summarization Text Summarization

LIA-RAG: a system based on graphs and divergence of probabilities applied to Speech-To-Text Summarization

no code implementations26 Jan 2016 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.

Text Summarization

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