Alípio Jorge

Alípio Jorge

Universidade do Porto

H-index: 32

Europe-Portugal

About Alípio Jorge

Alípio Jorge, With an exceptional h-index of 32 and a recent h-index of 24 (since 2020), a distinguished researcher at Universidade do Porto, specializes in the field of data science, machine learning, NLP, recommender systems, artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Keywords attention for fake news detection using few positive labels

Indexing Portuguese NLP Resources with PT-Pump-Up

Report on the 1st Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT 2023) at SIGIR 2023

Heterogeneity in families with ATTRV30M amyloidosis: a historical and longitudinal Portuguese case study impact for genetic counselling

Untangling a Web of Temporal Relations in News

Physio: An LLM-Based Physiotherapy Advisor

Pre‐trained language models: What do they know?

The 7th International Workshop on Narrative Extraction from Texts: Text2Story 2024

Alípio Jorge Information

University

Position

LIAAD INESC Porto DCC FCUP

Citations(all)

5213

Citations(since 2020)

3367

Cited By

2718

hIndex(all)

32

hIndex(since 2020)

24

i10Index(all)

95

i10Index(since 2020)

60

Email

University Profile Page

Universidade do Porto

Google Scholar

View Google Scholar Profile

Alípio Jorge Skills & Research Interests

data science

machine learning

NLP

recommender systems

artificial intelligence

Top articles of Alípio Jorge

Title

Journal

Author(s)

Publication Date

Keywords attention for fake news detection using few positive labels

Information Sciences

Mariana Caravanti de Souza

Marcos Paulo Silva Gôlo

Alípio Mário Guedes Jorge

Evelin Carvalho Freire de Amorim

Ricardo Nuno Taborda Campos

...

2024/3/1

Indexing Portuguese NLP Resources with PT-Pump-Up

arXiv preprint arXiv:2401.15400

Rúben Almeida

Ricardo Campos

Alípio Jorge

Sérgio Nunes

2024/1/27

Report on the 1st Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT 2023) at SIGIR 2023

ACM SIGIR Forum

Marina Litvak

Irina Rabaev

Ricardo Campos

Alípio M Jorge

Adam Jatowt

2024/1/22

Heterogeneity in families with ATTRV30M amyloidosis: a historical and longitudinal Portuguese case study impact for genetic counselling

Amyloid (published online)

Maria Pedroto

Teresa Coelho

Joana Fernandes

Alexandra Oliveira

Alípio Jorge

...

2024

Untangling a Web of Temporal Relations in News

Puricação Silvano

Evelin Amorim

António Leal

Inês Cantante

Alípio Jorge

...

2024

Physio: An LLM-Based Physiotherapy Advisor

Rúben Almeida

Hugo Sousa

Luís F Cunha

Nuno Guimarães

Ricardo Campos

...

2024/3/23

Pre‐trained language models: What do they know?

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Nuno Guimarães

Ricardo Campos

Alípio Jorge

2023/9/21

The 7th International Workshop on Narrative Extraction from Texts: Text2Story 2024

Ricardo Campos

Alípio Jorge

Adam Jatowt

Sumit Bhatia

Marina Litvak

2024/3/23

Text Mining and Visualization of Political Party Programs Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections

Ricardo Campos

Adam Jatowt

Alípio Jorge

2023/3/10

tieval: An Evaluation Framework for Temporal Information Extraction Systems

Hugo Sousa

Ricardo Campos

Alípio Mário Jorge

2023/7/19

Tweet2Story: Extracting Narratives from Twitter

Vasco Campos

Ricardo Campos

Alípio Jorge

2023/9/5

Report on the 6th International Workshop on Narrative Extraction from Texts (Text2Story 2023) at ECIR 2023

ACM SIGIR Forum

Ricardo Campos

Alípio M Jorge

Adam Jatowt

Sumit Bhatia

Marina Litvak

...

2023/12/4

The Competition on Automatic Classification of Literary Epochs

CEUR Workshop Proceedings

Irina Rabaev

Marina Litvak

Vladimir Younkin

Ricardo Campos

Alípio Mário Jorge

...

2023/1/1

Clinical model for Hereditary Transthyretin Amyloidosis age of onset prediction

Frontiers in Neurology

Maria Pedroto

Teresa Coelho

Alípio Jorge

João Mendes-Moreira

2023

Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis

Shamsuddeen Hassan Muhammad

Pavel Brazdil

Alípio Jorge

2023/9/5

GPT Struct Me: Probing GPT Models on Narrative Entity Extraction

Hugo Sousa

Nuno Guimarães

Alípio Jorge

Ricardo Campos

2023/10/26

Combining Symbolic and Deep Learning Approaches for Sentiment Analysis

Shamsudeen Hassan Muhammad

Pavel Brazdil

Alípio Jorge

2023

A biomedical entity extraction pipeline for oncology health records in Portuguese

Hugo Sousa

Alipio Mario Jorge

Arian Pasquali

Catarina Santos

Mario Lopes

2023/3/27

Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers

Maria Pedroto

Alípio Jorge

João Mendes-Moreira

Teresa Coelho

2023/9/5

TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification

Hugo Sousa

Ricardo Campos

Alípio Jorge

2023/10/21

See List of Professors in Alípio Jorge University(Universidade do Porto)

Co-Authors

H-index: 73
Joao Gama

Joao Gama

Universidade do Porto

H-index: 38
Luís Torgo

Luís Torgo

Dalhousie University

H-index: 26
Solange Oliveira Rezende

Solange Oliveira Rezende

Universidade de São Paulo

H-index: 23
João Mendes-Moreira

João Mendes-Moreira

Universidade do Porto

H-index: 21
José Paulo Leal

José Paulo Leal

Universidade do Porto

H-index: 18
Célia Nunes

Célia Nunes

Universidade da Beira Interior

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