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Felipe Coelho de Abreu Pinna, Victor Takashi Hayashi, João Carlos Néto, Rosangela de Fátima Pereira Marquesone, Maísa Cristina Duarte, Rodrigo Suzuki Okada and Wilson Vicente Ruggiero
Complex and long interactions (e.g., a change of topic during a conversation) justify the use of dialog systems to develop task-oriented chatbots and intelligent virtual assistants. The development of dialog systems requires considerable effort and takes...
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Candida Duarte Manuel, Carla Rebelo Magalhães, Claudia Maria Huber, Luká? Smerek, Artur Fernandes Costa and José Ribeiro Alves
Translation, adaptation, and validation of instruments for cross-cultural investigation requires a rigorous methodological procedure that should be carefully planned to deliver instruments with adequate reliability and validity. This process was applied ...
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Eduardo Medeiros, Leonel Corado, Luís Rato, Paulo Quaresma and Pedro Salgueiro
Automatic speech recognition (ASR), commonly known as speech-to-text, is the process of transcribing audio recordings into text, i.e., transforming speech into the respective sequence of words. This paper presents a deep learning ASR system optimization ...
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Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno and Roseli Suzi. Wedemann
In this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not ...
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Célia Tavares, Luciana Oliveira, Pedro Duarte and Manuel Moreira da Silva
According to a recent study by OpenAI, Open Research, and the University of Pennsylvania, large language models (LLMs) based on artificial intelligence (AI), such as generative pretrained transformers (GPTs), may have potential implications for the job m...
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Patricia Takako Endo, Guto Leoni Santos, Maria Eduarda de Lima Xavier, Gleyson Rhuan Nascimento Campos, Luciana Conceição de Lima, Ivanovitch Silva, Antonia Egli and Theo Lynn
Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increased t...
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Roberta Rodrigues de Lima, Anita M. R. Fernandes, James Roberto Bombasar, Bruno Alves da Silva, Paul Crocker and Valderi Reis Quietinho Leithardt
Classification problems are common activities in many different domains and supervised learning algorithms have shown great promise in these areas. The classification of goods in international trade in Brazil represents a real challenge due to the comple...
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Pablo Gamallo
This article describes a compositional model based on syntactic dependencies which has been designed to build contextualized word vectors, by following linguistic principles related to the concept of selectional preferences. The compositional strategy pr...
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Henrique Lopes-Cardoso, Tomás Freitas Osório, Luís Vilar Barbosa, Gil Rocha, Luís Paulo Reis, João Pedro Machado and Ana Maria Oliveira
The Natural Language Processing (NLP) community has witnessed huge improvements in the last years. However, most achievements are evaluated on benchmarked curated corpora, with little attention devoted to user-generated content and less-resourced languag...
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Luana Balador Belisário, Luiz Gabriel Ferreira and Thiago Alexandre Salgueiro Pardo
Texts published on social media have been a valuable source of information for companies and users, as the analysis of this data helps improving/selecting products and services of interest. Due to the huge amount of data, techniques for automatically ana...
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