???global.info.a_carregar???
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 enrolled in the BSc in Computer Science at the University of Minho in 2016. In 2022, he completed his master's degree in Computer Engineering with the thesis "NER in Archival Descriptions," leading to the publication of 4 articles on the application of ML techniques for extracting semantic knowledge from Portuguese archival documents. During his degree, he developed several projects, including NER@DI, accessible at http://ner.epl.di.uminho.pt/. This web platform facilitates annotating and extracting Named Entities from Portuguese archival documents. Since February 2022, Luís Filipe Cunha is an Invited Assistant Professor in the Department of Informatics at the Universidade do Minho, where he is teaching Natural Language Processing 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". This research focuses on developing AI models for extracting events from natural text, contributing to narrative extraction and automatic language understanding. This PhD is framed within the scope of an FCT project (StorySense). During his PhD, he has already published one paper at EPIA 2023, which received the Best Student Paper Award, has contributed to another paper at ECIR 2024 (core A) which received the Best Demo Paper Award and had a resource paper accepted at SIGIR 2024 (CORE A*). He has also published a textual resource focused on the Event Extraction task for Portuguese, named ACE-2005-PT, which was accepted for publication by the Linguistic Data Consortium (LDC) in their repository. This resource represents a significant contribution to the Event Extraction task in Portuguese, as very limited resources are available for this task in this language.
Read full resume ↓
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.
PTDC/CCI-COM/31857/2017
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; Ramalho, José Carlos. Corresponding author: Cunha, Luis Filipe. "NER in Archival Finding Aids: Next Level". In Lecture Notes in Networks and Systems - Information Systems and Technologies, 333-342. Budva, Montenegro: Springer, 2022.
    Published
  2. 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
  3. 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. Ramalho, José Carlos; Cunha, Luis Filipe. "Creating Archival Finding Aids Indexes with NER". Paper presented in ARCHIVING 2022 - State-of-the-art Imaging, Digitization, Preservation, and Acess, 2022.
    Accepted
  9. Cunha, Luis Filipe; Ramalho, José Carlos. Corresponding author: Cunha, Luis Filipe. "NER in Archival Finding Aids: Next Level". Paper presented in Welcome to WorldCist'22 - 10th World Conference on Information Systems and Technologies, Budva, 2022.
    Published • https://doi.org/10.1007/978-3-031-04819-7_33
  10. 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
  11. Cunha, Luis; Ramalho, José Carlos Leite. "Towards Entity Linking, NER in Archival Finding Aids". Paper presented in Linked Archives International Workshop 2021, 2021.
    Published
  12. Cunha, Luis; Ramalho, José Carlos Leite. "NER in Archival Finding Aids". Paper presented in SLATE 2021 - Symposium on Languages, Applications and Technologies, Póvoa do Varzim, 2021.
    Published • https://doi.org/10.4230/OASIcs.SLATE.2021.8
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
Thesis / Dissertation
  1. "Entity Recognition in Archival Descriptions". Master, Universidade do Minho, 2022. http://repositorium.sdum.uminho.pt/handle/1822/79025.
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