no code implementations • EMNLP 2020 • Paulo Cavalin, Victor Henrique Alves Ribeiro, Ana Appel, Claudio Pinhanez
This paper explores how intent classification can be improved by representing the class labels not as a discrete set of symbols but as a space where the word graphs associated to each class are mapped using typical graph embedding techniques.
no code implementations • ACL 2021 • Claudio Pinhanez, Paulo Cavalin, Victor Henrique Alves Ribeiro, Ana Appel, Heloisa Candello, Julio Nogima, Mauro Pichiliani, Melina Guerra, Maira de Bayser, Gabriel Malfatti, Henrique Ferreira
In this paper we explore the improvement of intent recognition in conversational systems by the use of meta-knowledge embedded in intent identifiers.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Paulo Cavalin, Marisa Vasconcelos, Marcelo Grave, Claudio Pinhanez, Victor Henrique Alves Ribeiro
We present a method for creating parallel data to train Seq2Seq neural networks for sentiment transfer.