Special Issue

Special issue of BMC Bioinformatics on BioNLP Shared Task 2011 - CFPs

We are delighted to announce that there will be a special issue of BMC Bioinformatics on the BioNLP Shared Task (BioNLP-ST) 2011.

BMC Bioinformatics is a premier open-access journal for BioNLP research with an Impact Factor of 3.03 and indexed by PubMed, Scopus, ACM and Thomson Reuters (ISI) among others.

We would like to invite submissions of extended versions of BioNLP-ST 2011 workshop papers. Submissions must include at least 25% substantial previously unpublished content. We also extend the invitation to contributions from those who did not participate, or participated but did not finish the BioNLP-ST 2011 tasks.

For details on BioNLP-ST 2011, please refer to the task homepage:


All submissions will undergo full peer review by 3 reviewers. We expect that 6-7 papers to be selected to be included in the special issue based on the reviews.

When preparing your manuscript, please follow the author guidelines of BMC Bioinformatics:


Please note that the submissions should NOT be made using the general BMC submissions site, but through the special issue EasyChair submission system:


Also, please note that for accepted papers, the authors have to be prepared to pay the online publication charge, which will be approximately GBP 900 per paper. The price includes all online production charges, hosting and maintenance of the online publication indefinitely by BMC.

To expedite the review process, we ask all those planning to submit a manuscript to submit an extended abstract (max. one page) prior to the primary manuscript submission. The extended abstract is considered a notification of intent to submit and will only be used to coordinate reviews; it will not be considered in review of the manuscript.


    • Oct. 14 (Friday) Extended abstract submission

    • Oct. 21 (Friday) Manuscript submission


    • Jin-Dong Kim, Database Center for Life Science (DBCLS)

    • Sampo Pyysalo, University of Manchester and National Centre for Text Mining (NaCTeM)

    • Claire Nédellec, National Institute for Agricultural Research (INRA)

    • Sophia Ananiadou, University of Manchester and National Centre for Text Mining (NaCTeM)

    • Jun'ichi Tsujii, Microsoft Research Asia (MSRA)