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Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing
In the era of big data, the advancement, improvement, and application of algorithms in academic research have played an important role in promoting the development of different disciplines. Academic papers in various disciplines, especially computer science, contain a large number of algorithms. Ide...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548120/ https://www.ncbi.nlm.nih.gov/pubmed/33072184 http://dx.doi.org/10.1016/j.joi.2020.101091 |