BERTimbau: pretrained BERT models for Brazilian Portuguese
Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of large pretrained language models (LMs) to …
transfer the learned internal states of large pretrained language models (LMs) to …
BERT models for Brazilian Portuguese: Pretraining, evaluation and tokenization analysis
Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of large pretrained language models (LMs) to …
transfer the learned internal states of large pretrained language models (LMs) to …
Harnessing hybrid deep learning approach for personalized retrieval in e-learning
The current worldwide pandemic has significantly increased the need for online learning
platforms, hence presenting difficulty in choosing appropriate course materials from the vast …
platforms, hence presenting difficulty in choosing appropriate course materials from the vast …
Impact of text specificity and size on word embeddings performance: An empirical evaluation in brazilian legal domain
Word embeddings is a text representation technique capable of capturing syntactic and
semantic linguistic patterns and of representing each word as an n-dimensional dense …
semantic linguistic patterns and of representing each word as an n-dimensional dense …
The HoPE model architecture: A novel approach to pregnancy information retrieval based on conversational agents
JLZ Montenegro, CA Da Costa - Journal of Healthcare Informatics …, 2022 - Springer
Conversational agents are used to communicating with humans in a friendly manner. To
achieve the highest level of performance, agents need to respond assertively and fastly …
achieve the highest level of performance, agents need to respond assertively and fastly …
A Use Case of Patent Classification Using Deep Learning with Transfer Learning
R Henriques, A Ferreira, M Castelli - Journal of Data and Information …, 2022 - sciendo.com
Purpose: Patent classification is one of the areas in Intellectual Property Analytics (IPA), and
a growing use case since the number of patent applications has been increasing worldwide …
a growing use case since the number of patent applications has been increasing worldwide …
User intent classification in noisy texts: an investigation on neural language models
P Blackman Sphaier, A Paes - Neural Computing and Applications, 2022 - Springer
User-generated content is a fundamental source of information to aid the decision-making in
several tasks, such as online marketing and follow-up intent response. Nonetheless, they …
several tasks, such as online marketing and follow-up intent response. Nonetheless, they …
Tracing semantic change in Portuguese: A distributional approach to adversative connectives
This study uses word embeddings to investigate the semantic changes underlying the
creation of two adversative connectives in Portuguese, porém and mas 'but, however'. For …
creation of two adversative connectives in Portuguese, porém and mas 'but, however'. For …
Comparing contextual embeddings for semantic textual similarity in portuguese
JE Andrade Junior, J Cardoso-Silva… - Intelligent Systems: 10th …, 2021 - Springer
Semantic textual similarity (STS) measures how semantically similar two sentences are. In
the context of the Portuguese language, STS literature is still incipient but includes important …
the context of the Portuguese language, STS literature is still incipient but includes important …