Chemlistem: chemical named entity recognition using recurrent neural networks
Abstract Chemical named entity recognition (NER) has traditionally been dominated by conditional random fields (CRF)-based approaches but given the success of the artificial neural network techniques known as “deep learning” we decided to examine them as an alternative to CRFs. We present here sever...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-12-01
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| Series: | Journal of Cheminformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13321-018-0313-8 |