Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/62769
Título: | A deep learning approach for sentence classification of scientific abstracts |
Autor(es): | Goncalves, Sergio Cortez, Paulo Moro, Sergio |
Palavras-chave: | Bi-directional gated recurrent unit Sentence classification Scientific articles Text mining Deep learning |
Data: | 2018 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/62769 |
ISBN: | 9783030014230 |
DOI: | 10.1007/978-3-030-01424-7_47 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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icann181.pdf | Author's Accepted Manuscript | 323,33 kB | Adobe PDF | Ver/Abrir |