Understanding Native Language Identification for Brazilian Indigenous LanguagesPaulo Rodrigo CavalinPedro Henrique Leite Da Silva Pires Domingueset al.2023ACL 2023
Using meta-knowledge mined from identifiers to improve intent recognition in conversational systemsClaudio PinhanezPaulo Cavalinet al.2021ACL-IJCNLP 2021
Improving out-of-scope detection in intent classification by using embeddings of the word graph space of the classesPaulo CavalinVictor Henrique Alves Ribeiroet al.2020EMNLP 2020
Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training SamplesPaulo Rodrigo CavalinPedro Domingueset al.2024NAACL 2024
Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World ScenariosPaulo Rodrigo CavalinClaudio Santos Pinhanez2024LREC-COLING 2024
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous LanguagesClaudio S. PinhanezPaulo Cavalinet al.2023IJCAI 2023
A Dynamic Multi-criteria Multi-engine Approach for Text SimplificationVictor RibeiroPaulo Cavalinet al.2021IJCNN 2021
Towards a Method to Classify Language Style for Enhancing Conversational SystemsPaulo CavalinVictor Ribeiroet al.2021IJCNN 2021
Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational SystemsClaudio Santos PinhanezHeloisa Caroline de Souza Pereira Candelloet al.2021CHI 2021
Intentions, Meanings, and Whys: Designing Content for Voice-based Conversational Museum GuidesFabricio BarthHeloisa Candelloet al.2020CUI 2020