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Luís Filipe Cunha is a PhD student at the University of Porto and an Invited Assistant Professor at the University of Minho. He is a researcher at LIAAD INESC TEC, the Artificial Intelligence and Decision Support Lab of U. Porto. He finished his BSc and master’s degree in Computer Engineering in 2016 and 2022 respectively with the thesis “NER in Archival Descriptions”, where he developed several projects such as the NER@DI web platform (http://ner.epl.di.uminho.pt). Since February 2022, he has been teaching Natural Language Processing at the Universidade do Minho in the Masters in Computer Engineering and the Masters of Biomedical Engineering. In September 2022, he started his PhD in Computer Science at the University of Porto, focusing on "Document Level Event Extraction from Narratives" under the FCT-funded StorySense project. During his PhD he has published several papers in highly regarded conferences (CORE A and A*) and has received several awards.
Identification

Personal identification

Full name
Luís Filipe Costa Cunha
Date of birth
1997/02/06
Gender
Male

Citation names

  • Cunha, Luis Filipe

Author identifiers

Ciência ID
2C1C-A41C-EBB1
ORCID iD
0000-0003-1365-0080
Google Scholar ID
https://scholar.google.com/citations?user=F9mWgmEAAAAJ&hl=en
Scopus Author Id
https://www.scopus.com/authid/detail.uri?authorId=57534330600

Email addresses

  • lfc@di.uminho.pt (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2)
Education
Degree Classification
2022/09/12 - 2026/09/12
Ongoing
Ciência de Computadores (Doutoramento)
Major in Processamento de Linguagem Natural; Inteligência Artificial
Universidade do Porto, Portugal
2016/07/31 - 2022/02/17
Concluded
Engenharia Informática (Mestrado integrado)
Major in Aplicações Web, Natural Language Processing, Machine Learning
Universidade do Minho, Portugal
"NER in Archival Descriptions" (THESIS/DISSERTATION)
16
Affiliation

Teaching in Higher Education

Category
Host institution
Employer
2022/02/14 - Current Invited Assistant (University Teacher) Universidade do Minho, Portugal
Projects

Contract

Designation Funders
2023/06/01 - Current StorySense: Atingir as Camadas Semânticas de Histórias em Texto
2022.09312.PTDC
Research Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2023/11 - 2024/11 PTicola - Increasing Computationally Language Resources for Portuguese
CPCA-IAC/AV/594794/2023
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2022/10/06 - 2023/05/30 Text2Story: Extração de narrativas jornalísticas a partir de textos e sua representação numa linguagem de modelos narrativos.
Research Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Universidade do Porto, Portugal
Concluded
Outputs

Publications

Book chapter
  1. Cunha, Luis Filipe; Almeida, João José; Simões, Alberto. Corresponding author: Cunha, Luis Filipe. "Reasoning with Portuguese Word Embeddings". In 11th Symposium on Languages, Applications and Technologies (SLATE 2022), 17:1-17:14. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
    Published
  2. Cunha, Luis; Ramalho, José Carlos Leite. "NER in Archival Finding Aids". In 10th Symposium on Languages, Applications and Technologies, 105-120. Saarbrücken/Warden, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, 2021.
    Published
Conference paper
  1. Cunha, Luis Filipe; Silvano, Purificação; Campos, Ricardo; Jorge, Alípio. Corresponding author: Cunha, Luis Filipe. "ACE-2005-PT: Corpus for Event Extraction in Portuguese". Paper presented in 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D. C., 2024.
    Published • 10.1145/3626772.3657872
  2. Luís Filipe Cunha. "Document Level Event Extraction from Narratives". Paper presented in 46th European Conference on Information Retrieval (ECIR), Glasgow, 2024.
    Published • 10.1007/978-3-031-56069-9_38
  3. Rúben Almeida; Hugo Sousa; Luís F. Cunha; Nuno Guimarães; Ricardo Campos; Alípio Jorge. "Physio: An LLM-Based Physiotherapy Advisor". Paper presented in 46th European Conference on Information Retrieval (ECIR), Glasgow, 2024.
    Published • 10.1007/978-3-031-56069-9_16
  4. Cunha, Luis Filipe; Campos, Ricardo; Jorge, Alípio. Corresponding author: Cunha, Luis Filipe. "Event Extraction for Portuguese: A QA-driven Approach using ACE-2005". Paper presented in EPIA'23 - 22nd Portuguese Conference on Artificial Intelligence, Horta, Faial, 2023.
    Published
  5. Cunha, Luis Filipe; Ramalho, José Carlos. Corresponding author: Cunha, Luis Filipe. "ARCANO - No caminho para adicionar semântica às descrições arquivísticas". Paper presented in 14º Congresso Nacional BAD (Associação Portuguesa de Bibliotecários, Arquivistas, Profissionais da Informação e Documentação)), Faro, 2023.
    Published
  6. Cunha, Luis Filipe; Ramalho, José Carlos. Corresponding author: Cunha, Luis Filipe. "Fine-Tuning BERT Models to Extract Named Entities from Archival Finding Aids". Paper presented in Proceedings of the Workshops and Doctoral Consortium of the 26th International Conference on Theory and Practice of Digital Libraries, Padua, 2022.
    Published
  7. Cunha, Luis Filipe; Almeida, João José; Simões, Alberto. Corresponding author: Cunha, Luis Filipe. "Reasoning with Portuguese Word Embeddings". Paper presented in SLATE 2022 - Symposium on Languages, Applications and Technologies, Covilhã, 2022.
    Published • 10.4230/OASIcs.SLATE.2022.17
  8. Neto, Cristiana; Ferreira, Diana; Nunes, João; Martins, Luís; Braga, Luís; Cunha, Luis Filipe; Machado, José. "Classification of Dementia in Adults". 2021.
    Published • 10.1007/978-981-16-4884-7_23
  9. Cunha, Luis; Ramalho, José Carlos Leite. "Towards Entity Linking, NER in Archival Finding Aids". Paper presented in Linked Archives International Workshop 2021, 2021.
    Published
Journal article
  1. Luis Filipe Costa Cunha; José Carlos Ramalho. "NER in Archival Finding Aids: Extended". Machine Learning and Knowledge Extraction (2022): https://www.mdpi.com/2504-4990/4/1/3.
    10.3390/make4010003
Online resource
  1. Cunha, Luis Filipe; Campos, Ricardo; Jorge, Alípio M.. Corresponding author: Cunha, Luis Filipe. Automatic Content Extraction for Portuguese. 2024. https://catalog.ldc.upenn.edu/LDC2024T05.
    https://doi.org/10.35111/8gr4-tn81
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/02/02 Reconhecimento de Entidades em Descrições Arquivísticas 2ª Conferência Internacional de Gestão da Informação e Arquivos (CIGIA)
Associação Portuguesa de Bibliotecários, Arquivistas, Profissionais da Informação e Documentação (Torres Vedras, Portugal)

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2022/09/19 - Current Algoritmos e Técnicas de Programação Licenciatura em Engenharia Biomédica (Licenciatura) Universidade do Minho, Portugal
2022/02/14 - Current Scripting no Processamento de Linguagem Natural Mestrado em Engenharia Informática (Mestrado) Universidade do Minho, Portugal
2022/02/14 - Current Processamento de Linguagem Natural em Engenharia Biomédica Mestrado em Engenharia Biomédica - Área de Especialização em Informática Médica (Mestrado) Universidade do Minho, Portugal
2022/10 - 2023/01 Computer science European Master in Lexicography (Master Universitario) Universidade de Santiago de Compostela, Spain
Distinctions

Award

2024 Best Demo Paper Award
European Conference on Information Retrieval (ECIR), United Kingdom
2024 SIGIR Student Travel Award
SIGIR '24: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, United States
2023 Best Student Paper Award
EPIA'23 - The 22nd Portuguese Conference on Artificial Intelligence, Portugal
2023 3rd Sword AI Challenge 2023
Sword Health Inc, United States

Other distinction

2023 Distinguished as an “Outstanding” researcher by INESC TEC
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal