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ABSTRACT: Background
Recent years have seen an increased amount of natural language processing (NLP) work on full text biomedical journal publications. Much of this work is done with Open Access journal articles. Such work assumes that Open Access articles are representative of biomedical publications in general and that methods developed for analysis of Open Access full text publications will generalize to the biomedical literature as a whole. If this assumption is wrong, the cost to the community will be large, including not just wasted resources, but also flawed science. This paper examines that assumption.Results
We collected two sets of documents, one consisting only of Open Access publications and the other consisting only of traditional journal publications. We examined them f
SUBMITTER: Verspoor K
PROVIDER: S-EPMC2714574 | biostudies-literature | 2009 Jun
REPOSITORIES: biostudies-literature