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Applications of Natural Language Processing in Biodiversity Science
2012
Advances in Bioinformatics
Centuries of biological knowledge are contained in the massive body of scientific literature, written for human-readability but too big for any one person to consume. Large-scale mining of information from the literature is necessary if biology is to transform into a data-driven science. A computer can handle the volume but cannot make sense of the language. This paper reviews and discusses the use of natural language processing (NLP) and machine-learning algorithms to extract information from
doi:10.1155/2012/391574
pmid:22685456
pmcid:PMC3364545
fatcat:qsqdapr7bvdkbaro2e4kkg3v2q