no code implementations • 23 May 2023 • Lucas Rafael Stefanel Gris, Ricardo Marcacini, Arnaldo Candido Junior, Edresson Casanova, Anderson Soares, Sandra Maria Aluísio
Automatic speech recognition (ASR) systems play a key role in applications involving human-machine interactions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 25 Nov 2022 • Daniel Peixoto Pinto da Silva, Edresson Casanova, Lucas Rafael Stefanel Gris, Arnaldo Candido Junior, Marcelo Finger, Flaviane Svartman, Beatriz Raposo, Marcus Vinícius Moreira Martins, Sandra Maria Aluísio, Larissa Cristina Berti, João Paulo Teixeira
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2.
no code implementations • 17 Dec 2021 • Sidney Evaldo Leal, Magali Sanches Duran, Carolina Evaristo Scarton, Nathan Siegle Hartmann, Sandra Maria Aluísio
This paper presents and makes publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse, psycholinguistics, cognitive and computational linguistics, to assess textual complexity in Brazilian Portuguese (BP).
2 code implementations • 14 Oct 2021 • Arnaldo Candido Junior, Edresson Casanova, Anderson Soares, Frederico Santos de Oliveira, Lucas Oliveira, Ricardo Corso Fernandes Junior, Daniel Peixoto Pinto da Silva, Fernando Gorgulho Fayet, Bruno Baldissera Carlotto, Lucas Rafael Stefanel Gris, Sandra Maria Aluísio
with 290. 77 hours, a publicly available dataset for ASR in BP containing validated pairs (audio-transcription).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 10 Jan 2018 • Marcelo Criscuolo, Erick Rocha Fonseca, Sandra Maria Aluísio, Ana Carolina Sperança-Criscuolo
We introduce MilkQA, a question answering dataset from the dairy domain dedicated to the study of consumer questions.
no code implementations • 10 Apr 2017 • Nathan Siegle Hartmann, Magali Sanches Duran, Sandra Maria Aluísio
The goal of this paper is to evaluate the performance of SRL on revised and non-revised syntactic trees using a larger and balanced corpus of BP journalistic texts.
no code implementations • EACL 2017 • Marcos Vinícius Treviso, Christopher Shulby, Sandra Maria Aluísio
Automated discourse analysis tools based on Natural Language Processing (NLP) aiming at the diagnosis of language-impairing dementias generally extract several textual metrics of narrative transcripts.