Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules

Author:

Korvigo IliaORCID,Holmatov Maxim,Zaikovskii Anatolii,Skoblov Mikhail

Funder

Russian Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications

Reference34 articles.

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3. Akhondi SA, Hettne KM, Van Der Horst E, Van Mulligen EM, Kors JA (2015) Recognition of chemical entities: Combining dictionary-based and grammar-based approaches. J Cheminformatics 7(Suppl 1), 1–11. https://doi.org/10.1186/1758-2946-7-S1-S10

4. Khabsa M, Giles C.L (2015) Chemical entity extraction using CRF and an ensemble of extractors. J Cheminformatics 7(Suppl 1), 1–9 https://doi.org/10.1186/1758-2946-7-S1-S12

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