no code implementations • LREC 2022 • Hugo Gonçalo Oliveira, Patrícia Ferreira, Daniel Martins, Catarina Silva, Ana Alves
Several dialogue corpora are currently available for research purposes, but they still fall short for the growing interest in the development of dialogue systems with their own specific requirements.
no code implementations • LREC 2020 • Hugo Gon{\c{c}}alo Oliveira, Andr{\'e} Clem{\^e}ncio, Ana Alves
Having in mind the lack of work on the automatic recognition of verbal humour in Portuguese, a topic connected with fluency in a natural language, we describe the creation of three corpora, covering two styles of humour and four sources of non-humorous text, that may be used for related studies.
no code implementations • LREC 2020 • Hugo Gon{\c{c}}alo Oliveira, Jo{\~a}o Ferreira, Jos{\'e} Santos, Pedro Fialho, Ricardo Rodrigues, Luisa Coheur, Ana Alves
Matching variations with their original questions was not trivial with a set of unsupervised baselines, especially for manually created variations.
1 code implementation • LREC 2016 • Adriana Ferrugento, Hugo Gon{\c{c}}alo Oliveira, Ana Alves, Filipe Rodrigues
This paper proposes a new topic model that exploits word sense information in order to discover less redundant and more informative topics.