@article{
 title = {Text mining for biology--the way forward: opinions from leading scientists},
 type = {article},
 year = {2008},
 identifiers = {[object Object]},
 pages = {S7},
 volume = {9 Suppl 2},
 websites = {http://www.ncbi.nlm.nih.gov/pubmed/18834498},
 publisher = {BioMed Central Ltd},
 institution = {Stanford University, Stanford, California, 94305-5444, USA.},
 id = {9ede4efe-84a3-3ab7-9cda-771864cb32aa},
 created = {2011-02-24T21:47:51.000Z},
 file_attached = {true},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2019-09-11T02:39:31.978Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Altman2008},
 notes = {<b>From Duplicate 1 ( <i>Text mining for biology--the way forward: opinions from leading scientists</i> - Altman, Russ B; Bergman, Casey M; Blake, Judith; Blaschke, Christian; Cohen, Aaron; Gannon, Frank; Grivell, Les; Hahn, Udo; Hersh, William; Hirschman, Lynette; Jensen, Lars Juhl; Krallinger, Martin; Mons, Barend; O'Donoghue, Seán I; Peitsch, Manuel C; Rebholz-Schuhmann, Dietrich; Shatkay, Hagit; Valencia, Alfonso )<br /></b><br /><b>From Duplicate 2 ( <i>Text mining for biology--the way forward: opinions from leading scientists</i> - Altman, Russ B; Bergman, Casey M; Blake, Judith; Blaschke, Christian; Cohen, Aaron; Gannon, Frank; Grivell, Les; Hahn, Udo; Hersh, William; Hirschman, Lynette; Jensen, Lars Juhl; Krallinger, Martin; Mons, Barend; O'Donoghue, Seán I; Peitsch, Manuel C; Rebholz-Schuhmann, Dietrich; Shatkay, Hagit; Valencia, Alfonso )<br /></b><br /><br /><br /><br /><br />},
 private_publication = {false},
 abstract = {This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress.},
 bibtype = {article},
 author = {Altman, Russ B and Bergman, Casey M and Blake, Judith and Blaschke, Christian and Cohen, Aaron and Gannon, Frank and Grivell, Les and Hahn, Udo and Hersh, William and Hirschman, Lynette and Jensen, Lars Juhl and Krallinger, Martin and Mons, Barend and O'Donoghue, Seán I and Peitsch, Manuel C and Rebholz-Schuhmann, Dietrich and Shatkay, Hagit and Valencia, Alfonso},
 journal = {Genome Biology},
 number = {Suppl 2}
}

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