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ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents
Chemical patents represent a valuable source of information about new chemical compounds, which is critical to the drug discovery process. Automated information extraction over chemical patents is, however, a challenging task due to the large volume of existing patents and the complex linguistic pro...
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028406/ https://www.ncbi.nlm.nih.gov/pubmed/33870071 http://dx.doi.org/10.3389/frma.2021.654438 |