Posted Wed, Apr, 03,2013
Published today in Biomedical Informatics Insights is a new original research article by Tudor Groza, Hamed Hassanzadeh and Jane Hunter. Read more about this paper below:
Title
Recognizing Scientific Artifacts in Biomedical Literature
Abstract
Today’s search engines and digital libraries offer little or no support for discovering those scientific artifacts (hypotheses, supporting/contradicting statements, or findings) that form the core of scientific written communication. Consequently, we currently have no means of identifying central themes within a domain or to detect gaps between accepted knowledge and newly emerging knowledge as a means for tracking the evolution of hypotheses from incipient phases to maturity or decline. We present a hybrid Machine Learning approach using an ensemble of four classifiers, for recognizing scientific artifacts (ie, hypotheses, background, motivation, objectives, and findings) within biomedical research publications, as a precursory step to the general goal of automatically creating argumentative discourse networks that span across multiple publications. The performance achieved by the classifiers ranges from 15.30% to 78.39%, subject to the target class. The set of features used for classification has led to promising results. Furthermore, their use strictly in a local, publication scope, ie, without aggregating corpus-wide statistics, increases the versatility of the ensemble of classifiers and enables its direct applicability without the necessity of re-training.
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Thu 08 Oct, 2015
Published This Week (5th - 9th October)Thu 08 Oct, 2015
Biomarker Insights Paper Endorsed by Editor in ChiefWed 07 Oct, 2015
Interview with Professor Jamie DaviesDrug Target Insight offers a rapid scientific evaluation of submitted manuscripts. The editorial staff is extremely helpful in the guidance through the process. By recruitment of several references, the review process has the chance to be more fair and objective compared with when only a single referee is used. I can strongly recommend to publish research articles in the journal.
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