BibTeX
@MISC{13recentadvances,
author = {},
title = {RECENT ADVANCES IN},
year = {2013}
}
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Abstract
ii Preface Biomedical NLP deals with the processing of healthcare-related text—clinical documents created by physicians and other healthcare providers at the point of care, scientific publications in the areas of biology and medicine, and consumer healthcare text such as social media blogs. Recent years have seen dramatic changes in the types and amount of data available to researchers in this field. Where most research on publications in the past has dealt with the abstracts of journal articles, we now have access to the full texts of journal articles via PubMedCentral. Where research on clinical documents has been hampered by a lack of availability of data, we now have access to large bodies of data through the auspices of the Cincinnati Children’s Hospital NLP Challenge, the i2b2 shared tasks (www.i2b2.org), the TREC Electronic Medical Records track, the US-funded Strategic Health Advanced Research Projects Area 4 (www.sharpn.org) and the Shared Annotated Resources (ShARe;
Keyphrases
recent advance journal article full text dramatic change clinical document shared annotated resource large body healthcare provider social medium blog scientific publication healthcare-related text clinical document hospital nlp challenge trec electronic medical record track cincinnati child recent year consumer healthcare text ii preface biomedical nlp deal
