BIP! Finder - A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

2018 • A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

Authors: Matthew Shardlow; Meizhi Ju; Maolin Li; Christian O’Reilly; Elisabetta Iavarone; John McNaught; Sophia Ananiadou

Venue: Neuroinformatics

Type: Publication

Abstract: The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and computational neuroscience, such as those being deployed in the context of continuing large-scale brain modelling projects. However, manually sifting through thousands of articles for new information about modelled entities is a painstaking and low-reward task. Text mining can be used to help a curator extract relevant information from this literature in a systematic way. We propose the application of text mining methods for the neuroscience literature. ... (read more)

Impact:

1.4654499E-8 3.8550168E-9 19 8

/ Attention: 0 20

Topics: Artificial intelligence Machine learning Data science

DOI: 10.1007/s12021-018-9404-y

External links: Crossref OpenAIRE

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