Automated recognition of brain region mentions in neuroscience literature
|Automated recognition of brain region mentions in neuroscience literature|
|Authors:||Leon French, Suzanne Lane, Lydia Xu, Paul Pavlidis|
|Citation:||Frontiers in Neuroinformatics 3 : 29. 2009|
|Database(s):||Google Scholar cites PubMed (PMID/19750194)|
|Web:||Bing Google Yahoo! — Google PDF|
|Article:||BASE Google Scholar PubMed|
|Restricted:||DTU Digital Library|
|Format:||BibTeX Template from PMID|
|Extract:||Talairach coordinates from linked PDF: CSV-formated wiki-formated|
Automated recognition of brain region mentions in neuroscience literature is a paper about text mining for neuroscience.
Results associated with the paper are presented at the following web site.
The corpus used in the study is available from:
The corpus was on 1377 abstracts assembled from 119 PubMed from keywords search "afferent" and "efferent", later augmented with random articles from Journal of Comparative Neurology as used by Intelligent approaches to mining the primary research literature: techniques, systems, and examples.
For extraction (named entity recognition) the used dictionary matching they use neuroanatomical names from NeuroNames and "Nomenclatures of Canonical Mouse and Rat Brain Atlases and the Ontology of Human and Macaque Neuroanatomy". They compared the approach to Textpresso for Neuroscience.