Sentence examples for document prioritization from inspiring English sources

As both document prioritization and information extraction are important factors in speeding up the curation process, we therefore evaluated how well eFIP can prioritize documents for curation.

The results of Track I showed that development of effective document prioritization tools, along with a user-friendly web interface, requires a high degree of systems development and integration, as well as close interactions with biocurators.

The BioCreative-2012 Workshop consisted of three tracks: (I) a collaborative biocuration-text mining development task for document prioritization for curation; (II) a biocuration workflow survey and analysis task and (III) an interactive text mining and user evaluation task.

Commonalities include document triage or prioritization, extraction and linkage of important biological entities, and extraction of relations and the underlying evidence for the relations.

We report on the original integration of an automatic text categorization pipeline, so-called ToxiCat (Toxicogenomic Categorizer), that we developed to perform biomedical documents classification and prioritization in order to speed up the curation of the Comparative Toxicogenomics Database (CTD).

In addition, the workshop participants identified text-mining aids for finding gene names and symbols (gene indexing), prioritization of documents for curation (document triage) and ontology concept assignment as those most desired by the biocurators.

The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation.

Prioritize your team's activities and to document the justification for that prioritization.

This step may also involve a prioritization or ranking of documents, with documents containing information on novel discoveries (genes, proteins interactions) assigned a higher priority.

The three prioritization events identified were documented in key official documents from SENACYT, available via the transparency module of its official webpage (http://www.senacyt.gob.pa): the PENCYT 2006 2010 [ 17], the PENCYT 2010 2014 [ 33], and the " Final report on the inter-sectoral and inter-institutional workshop on health research policies and priorities" [ 34].

Most common uses of text mining are applications to improve prioritization of relevant documents for curation, identification of evidence (especially from full text) and linking of entities and relations to biological resources, e.g. EntrezGene or GO.