Ciência-IUL
Publicações
Descrição Detalhada da Publicação
Artificial Neural Networks and Machine Learning – ICANN 2018
Ano (publicação definitiva)
2018
Língua
Inglês
País
Suíça
Mais Informação
Web of Science®
Scopus
Google Scholar
Abstract/Resumo
The classification of abstract sentences is a valuable tool to support scientific database querying, to summarize relevant literature works and to assist in the writing of new abstracts. This study proposes a novel deep learning approach based on a convolutional layer and a bi-directional gated recurrent unit to classify sentences of abstracts. The proposed neural network was tested on a sample of 20 thousand abstracts from the biomedical domain. Competitive results were achieved, with weight-averaged precision, recall and F1-score values around 91%, which are higher when compared to a state-of-the-art neural network.
Agradecimentos/Acknowledgements
--
Palavras-chave
Bi-directional gated recurrent unit,Sentence classification,Text mining,Deep learning,Scientific articles
Classificação Fields of Science and Technology
- Ciências da Computação e da Informação - Ciências Naturais
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
---|---|
POCI-01-0145-FEDER-007043 | COMPETE 2020 |
UID/MULTI/0446/2013 | Fundação para a Ciência e a Tecnologia |
UID/CEC/00319/2013 | Fundação para a Ciência e a Tecnologia |