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...

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Detalles Bibliográficos
Autores principales: He, Jiayuan, Nguyen, Dat Quoc, Akhondi, Saber A., Druckenbrodt, Christian, Thorne, Camilo, Hoessel, Ralph, Afzal, Zubair, Zhai, Zenan, Fang, Biaoyan, Yoshikawa, Hiyori, Albahem, Ameer, Cavedon, Lawrence, Cohn, Trevor, Baldwin, Timothy, Verspoor, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Research Metrics and Analytics
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

Internet

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

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