Eugénio Ribeiro

Eugénio RibeiroInvestigador Auxiliar | SA-HLT 

0000-0001-7147-8675
gwspXR0AAAAJ

213100232     235 eugenio.ribeiro@inesc-id.pt www.l2f.inesc-id.pt/w/Eugénio_Ribeiro

 

Total Publications: 27

Article (Author)

• Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  Journal of Artificial Intelligence Research (JAIR), vol. 73, pages 397-436, DOI 10.1613/jair.1.13280, January 2022
• Semantic frame induction through the detection of communities of verbs and their arguments
  Eugénio Ribeiro, Andreia Sofia Teixeira, Ricardo Ribeiro, David Martins de Matos,
  Applied Network Science, vol. 5, DOI 10.1007/s41109-020-00312-z, September 2020
• Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  Journal of Artificial Intelligence Research, vol. 66, pages 861-899, December 2019
• Reconhecimento de Actos de Diálogo Hierárquicos e Multi-Etiqueta em Dados em Espanhol
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  Linguamática, vol. 11, n. 1, pages 17-40, DOI 10.21814/lm.11.1.278, July 2019
• A Multilingual and Multidomain Study on Dialog Act Recognition Using Character-Level Tokenization
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  Information, vol. 10, n. 3, DOI 10.3390/info10030094, March 2019

In Proceedings (Author)

• Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract)
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  International Joint Conference on Artificial Intelligence (IJCAI), pages 6948-6953, August 2023
• Active Learning Improves the Teacher’s Experience: A Case Study in a Language Grounding Scenario
  Filipe Vaz Reynaud, Eugénio Ribeiro, David Martins de Matos,
  IberSPEECH 2022, ISCA, pages 141-145, ISCA, Granada, November 2022
• Using Topic Information to Improve Non-exact Keyword-Based Search for Mobile Applications
  Eugénio Ribeiro, Ricardo Ribeiro, Fernando Batista, João Oliveira,
  Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Communications in Computer and Information Science, Springer, vol. 1237, pages 373-386, Springer, June 2020
• Mapping the Dialog Act Annotations of the LEGO Corpus into ISO 24617-2 Communicative Functions
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), ELRA, pages 531–539, ELRA, May 2020
• Semantic Frame Induction as a Community Detection Problem
  Eugénio Ribeiro, Andreia Sofia Teixeira, Ricardo Ribeiro, David Martins de Matos,
  Complex Networks 2019, Springer, pages 274-285, Springer, Lisbon, Portugal, December 2019
• L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations
  Eugénio Ribeiro, Vânia Mendonça, Ricardo Ribeiro, David Martins de Matos, Alberto Sardinha, Ana Lúcia Santos, Luísa Coheur,
  Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), ACL, pages 130-136, ACL, Minneapolis, Minnesota, USA, May 2019
• End-to-End Multi-Level Dialog Act Recognition
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  IberSPEECH 2018, ISCA, pages 301-305, ISCA, Barcelona, November 2018
• A Study on Dialog Act Recognition Using Character-Level Tokenization
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  Artificial Intelligence: Methodology, Systems, and Applications, 18th International Conference, AIMSA 2018, LNAI, Springer, pages 93-103, Springer, Varna, Bulgaria, September 2018
• A Curiosity Model for Artificial Agents
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  European Conference on Artificial Life (ECAL), MIT Press, pages 561-568, MIT Press, Lyon, France, September 2017
• Automatic Detection of Hyperarticulated Speech
  Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, Ricardo Ribeiro, David Martins de Matos,
  IberSPEECH 2016, Lecture Notes in Computer Science, Springer International Publish, vol. 10077, pages 182--191, Springer International Publish, Lisbon, November 2016
• Assessing User Expertise in Spoken Dialog System Interactions
  Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, José David Lopes, Ricardo Ribeiro, David Martins de Matos,
  IberSPEECH 2016, Lecture Notes in Computer Science, Springer International Publish, vol. 10077, pages 245--254, Springer International Publish, Lisbon, November 2016
• Exploiting Phone Log-Likelihood Ratio Features for the Detection of the Native Language of Non-Native English Speakers
  Alberto Abad, Eugénio Ribeiro, Fábio Natanael Kepler, Ramon Fernandez Astudillo, Isabel Trancoso,
  Interspeech 2016, San Francisco, US, September 2016
• SPA: Web-based Platform for easy Access to Speech Processing Modules
  Fernando Batista, Pedro dos Santos Lopes Curto, Isabel Trancoso, Alberto Abad, Jaime Rodrigues Ferreira, Eugénio Ribeiro, Helena Moniz, David Martins de Matos, Ricardo Ribeiro,
  LREC, European Language Resources Association (ELRA), pages 3886--3892, European Language Resources Association (ELRA), Portorož, Slovenia, May 2016
• Combining Multiple Approaches to Predict the Degree of Nativeness
  Eugénio Ribeiro, Jaime Rodrigues Ferreira, Julia Olcoz, Alberto Abad, Helena Moniz, Fernando Batista, Isabel Trancoso,
  Interspeech 2015, Dresden, Germany, September 2015

Miscellaneous (Author)

• Towards Learning Through Open-Domain Dialog
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/2202.03040, February 2022
• Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/2003.03556, March 2020
• Hierarchical Multi-Label Dialog Act Recognition on Spanish Data
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/1907.12316, July 2019
• Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/1807.08587, July 2018
• A Study on Dialog Act Recognition using Character-Level Tokenization
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/1805.07231, May 2018
• Assessing User Expertise in Spoken Dialog System Interactions
  Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, José Lopes, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/1701.05011, January 2017
• Mapping the Dialog Act Annotations of the LEGO Corpus into the Communicative Functions of ISO 24617-2
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/1612.01404, December 2016
• The Influence of Context on Dialogue Act Recognition
  Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos,
  , https://arxiv.org/abs/1506.00839, June 2015

 

Total Supervisions: 2

Master's Theses

• Revisiting natural language processing tasks for European Portuguese: taking advantage of large language models
  Miguel Gonçalves
  Luísa Coheur (advisor), Eugénio Ribeiro (coadvisor)
  Master's Thesis, Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa, 2023-09-20 - Ongoing
• Domain learning through dialog
  Filipe Vaz Reynaud
  David Martins de Matos (advisor), Eugénio Ribeiro (coadvisor)
  Master's Thesis, Instituto Superior Técnico, Universidade de Lisboa, 2020-09-01 - 2022-06-01