LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools
Abstract Background Chemical and biomedical named entity recognition (NER) is an essential preprocessing task in natural language processing. The identification and extraction of named entities from scientific articles is also attracting increasing interest in many scientific disciplines. Locating c...
Gorde:
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2019-01-01
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| Saila: | Journal of Cheminformatics |
| Gaiak: | |
| Sarrera elektronikoa: | http://link.springer.com/article/10.1186/s13321-018-0327-2 |
| Etiketak: |
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