Eugénio Ribeiro
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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
- 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, Journal of Artificial Intelligence Research (JAIR), AAAI Press, vol. 73, pages 397-436, doi: 10.1613/jair.1.13280, January 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, Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations, Journal of Artificial Intelligence Research, AAAI Press, vol. 66, pages 861-899, December 2019
- Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Reconhecimento de Actos de Diálogo Hierárquicos e Multi-Etiqueta em Dados em Espanhol, Linguamática, Universidade do Minho and Universidade de Vigo, vol. 11, n. 1, pages 17-40, doi: 10.21814/lm.11.1.278, July 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
- Filipe Vaz Reynaud, Eugénio Ribeiro, David Martins de Matos, Active Learning Improves the Teacher’s Experience: A Case Study in a Language Grounding Scenario, In IberSPEECH 2022, ISCA, pages 141-145, doi: 10.21437/IberSPEECH.2022-29, Granada, November 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
- Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, Mapping the Dialog Act Annotations of the LEGO Corpus into ISO 24617-2 Communicative Functions, In Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), ELRA, pages 531–539, May 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
- Eugénio Ribeiro, Vânia Mendonça, Ricardo Ribeiro, David Martins de Matos, Alberto Sardinha, Ana Lúcia Santos, Luísa Coheur, L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations, In Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), ACL, pages 130-136, Minneapolis, Minnesota, USA, May 2019
2018
- Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos, End-to-End Multi-Level Dialog Act Recognition, In IberSPEECH 2018, ISCA, pages 301-305, doi: 10.21437/IberSPEECH.2018-63, Barcelona, November 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
- Alberto Abad, Eugénio Ribeiro, Fábio Natanael Kepler, Ramon Fernandez Astudillo, Isabel Trancoso, Exploiting Phone Log-Likelihood Ratio Features for the Detection of the Native Language of Non-Native English Speakers, In Interspeech 2016, San Francisco, US, September 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
- Eugénio Ribeiro, Jaime Rodrigues Ferreira, Julia Olcoz, Alberto Abad, Helena Moniz, Fernando Batista, Isabel Trancoso, Combining Multiple Approaches to Predict the Degree of Nativeness, In Interspeech 2015, Dresden, Germany, September 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.