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Publication Detailed Description
Artificial Neural Networks and Machine Learning – ICANN 2018
Year (definitive publication)
2018
Language
English
Country
Switzerland
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Abstract
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.
Acknowledgements
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Keywords
Bi-directional gated recurrent unit,Sentence classification,Text mining,Deep learning,Scientific articles
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| 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 |
