Eugénio Ribeiro

From HLT@INESC-ID

Eugénio Ribeiro

Eugénio Ribeiro obtained both a Bachelor (2010) and a Master's (2012) degrees in Information Systems and Computer Engineering from Instituto Superior Técnico. He joined the Spoken Language Systems Laboratory (L²F) in 2009 as a trainee and is now a PhD student under the supervision of professors David Martins de Matos and Ricardo Ribeiro.

Eugénio has been a teaching assistant of the Object-Oriented Programming, Software Engineering, Artificial Intelligence, and Machine Learning courses at Instituto Superior Técnico.

He was also a research grant holder in project SpeDial, supported by the EU Seventh Framework Programme (FP7), grant number, 611396, and project AppRecommender, supported by PT2020, project number 39703.

Research Interests

  • Learning Agents
  • Dialogue Systems
  • Intent Recognition
  • Knowledge Extraction
  • Knowledge Representation

Ongoing Projects

  • PhD thesis in Artificial Entities that Learn Through Dialog

Publications

International Journals

2022

2020

  • Eugénio Ribeiro, Andreia Sofia Teixeira, Ricardo Ribeiro, David Martins de Matos, Semantic frame induction through the detection of communities of verbs and their arguments, Applied Network Science, Springer, vol. 5, doi: 10.1007/s41109-020-00312-z, September 2020

2019

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, A Multilingual and Multidomain Study on Dialog Act Recognition Using Character-Level Tokenization, Information, MDPI, vol. 10, n. 3, doi: 10.3390/info10030094, Basel, Switzerland, March 2019

International Conferences

2022

2020

  • Eugénio Ribeiro, Ricardo Ribeiro, Fernando Batista, João Oliveira, Using Topic Information to Improve Non-exact Keyword-Based Search for Mobile Applications, In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Springer, vol. 1237, series Communications in Computer and Information Science, pages 373-386, June 2020

2019

  • Eugénio Ribeiro, Andreia Sofia Teixeira, Ricardo Ribeiro, David Martins de Matos, Semantic Frame Induction as a Community Detection Problem, In Complex Networks 2019, Springer, pages 274-285, doi: 10.1007/978-3-030-36687-2_23, Lisbon, Portugal, December 2019

2018

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, A Study on Dialog Act Recognition Using Character-Level Tokenization, In Artificial Intelligence: Methodology, Systems, and Applications, 18th International Conference, AIMSA 2018, Springer, series LNAI, pages 93-103, doi: 10.1007/978-3-319-99344-7_9, , Varna, Bulgaria, September 2018

2017

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, A Curiosity Model for Artificial Agents, In European Conference on Artificial Life (ECAL), MIT Press, pages 561-568, doi: 10.7551/ecal_a_089, , Lyon, France, September 2017

2016

  • Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, José David Lopes, Ricardo Ribeiro, David Martins de Matos, Assessing User Expertise in Spoken Dialog System Interactions, In IberSPEECH 2016, Springer International Publish, vol. 10077, series Lecture Notes in Computer Science, pages 245--254, doi: 10.1007/978-3-319-49169-1_24, , Lisbon, November 2016
  • Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, Ricardo Ribeiro, David Martins de Matos, Automatic Detection of Hyperarticulated Speech, In IberSPEECH 2016, Springer International Publish, vol. 10077, series Lecture Notes in Computer Science, pages 182--191, doi: http://dx.doi.org/10.1007/978-3-319-49169-1_18, , Lisbon, November 2016
  • Fernando Batista, Pedro dos Santos Lopes Curto, Isabel Trancoso, Alberto Abad, Jaime Rodrigues Ferreira, Eugénio Ribeiro, Helena Moniz, David Martins de Matos, Ricardo Ribeiro, SPA: Web-based Platform for easy Access to Speech Processing Modules, In LREC, European Language Resources Association (ELRA), pages 3886--3892, doi: ISBN: 978-2-9517408-9-1, Portorož, Slovenia, May 2016

2015

Doctoral Theses

2023

  • Eugénio Ribeiro, Towards Artificial Entities that Learn Through Dialog: Intention-Based Knowledge Extraction and Learning, PhD thesis, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, February 2023

Masters Theses

2012

  • Eugénio Ribeiro, Situated Dialog for speaking Robots, MSc thesis, Instituto Superior Técnico, Universidade de Lisboa, November 2012

Other Publications

2022

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Towards Learning Through Open-Domain Dialog, https://arxiv.org/abs/2202.03040, February 2022

2020

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation, https://arxiv.org/abs/2003.03556, March 2020

2019

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Hierarchical Multi-Label Dialog Act Recognition on Spanish Data, https://arxiv.org/abs/1907.12316, July 2019

2018

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations, https://arxiv.org/abs/1807.08587, July 2018
  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, A Study on Dialog Act Recognition using Character-Level Tokenization, https://arxiv.org/abs/1805.07231, May 2018

2017

  • Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, José Lopes, Ricardo Ribeiro, David Martins de Matos, Assessing User Expertise in Spoken Dialog System Interactions, https://arxiv.org/abs/1701.05011, January 2017

2016

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Mapping the Dialog Act Annotations of the LEGO Corpus into the Communicative Functions of ISO 24617-2, https://arxiv.org/abs/1612.01404, December 2016

2015

  • Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, The Influence of Context on Dialogue Act Recognition, https://arxiv.org/abs/1506.00839, June 2015

MSc theses

Finished

  • Domain learning through dialog, Filipe Vaz Reynaud. Instituto Superior Técnico, Universidade de Lisboa (2020-2022). David Martins de Matos, advisor. Eugénio Ribeiro, co-advisor.