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Average F-score with and without frustratingly easy domain adaptation (FEDA).

By Stephen Wu (659541), Timothy Miller (659542), James Masanz (659543), Matt Coarr (659544), Scott Halgrim (659545), David Carrell (449597) and Cheryl Clark (659546)

Abstract

<p>Average F-score with and without frustratingly easy domain adaptation (FEDA).</p

Topics: Biological Sciences, Science Policy, negation detection task, future work, training data, domain adaptation methods, negation detection, nlp, language processing, Various factors, optimizable solution, generalizable solution, source, Generalizability Versus Optimizability, generalizability, negation detection performance, Clinical Natural Language Processing, entity characteristics
Year: 2014
DOI identifier: 10.1371/journal.pone.0112774.t005
OAI identifier: oai:figshare.com:article/1239308
Provided by: FigShare
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